Author: "Crowley, James L." / Database: OpenAIRE - Searchworks@Jio Institute Digital Library Search Results

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1. Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals

Author: Vazquez-Rodriguez, Juan, Lefebvre, Grégoire, Cumin, Julien, and Crowley, James L
Subjects: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)
Abstract: In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals. We demonstrate that a Transformer-based approach is suitable for this task. In addition, we present how such models may be pretrained in a multimodal scenario to improve emotion recognition performances. We evaluate the benefits of using multimodal inputs and pre-training with our approach on a state-ofthe-art dataset.
Published: 2022

2. TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut

Author: Wang, Yangtao, Shen, Xi, Yuan, Yuan, Du, Yuming, Li, Maomao, Hu, Shell Xu, Crowley, James L, and Vaufreydaz, Dominique
Subjects: FOS: Computer and information sciences, Statistics - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (stat.ML)
Abstract: In this paper, we describe a graph-based algorithm that uses the features obtained by a self-supervised transformer to detect and segment salient objects in images and videos. With this approach, the image patches that compose an image or video are organised into a fully connected graph, where the edge between each pair of patches is labeled with a similarity score between patches using features learned by the transformer. Detection and segmentation of salient objects is then formulated as a graph-cut problem and solved using the classical Normalized Cut algorithm. Despite the simplicity of this approach, it achieves state-of-the-art results on several common image and video detection and segmentation tasks. For unsupervised object discovery, this approach outperforms the competing approaches by a margin of 6.1%, 5.7%, and 2.6%, respectively, when tested with the VOC07, VOC12, and COCO20K datasets. For the unsupervised saliency detection task in images, this method improves the score for Intersection over Union (IoU) by 4.4%, 5.6% and 5.2%. When tested with the ECSSD, DUTS, and DUT-OMRON datasets, respectively, compared to current state-of-the-art techniques. This method also achieves competitive results for unsupervised video object segmentation tasks with the DAVIS, SegTV2, and FBMS datasets., arXiv admin note: substantial text overlap with arXiv:2202.11539
Published: 2022

3. Precise zircon U-Pb geochronology of Hiltaba Suite granites, Point Riley, Yorke Peninsula

Author: Reid, Anthony J, Tiddy, Caroline, Jagodzinski, Elizabeth A, Crowley, James L, Conor, Colin, Brotodewo, Adrienne, and Wade, Claire
Published: 2021
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4. MM201701

Author: Abdelali Moukhsil, Solgadi, Fabien, Jannin, Sophie, Gervais, F��lix, Crowley, James L., Augland, Lars Eivind, Aphrodite Indares, Letourneau, Marie, Dunning, Gregory R., Clark, Thomas, Gobeil, Andr��, Ohnenstetter, Daniel, Lamothe, Daniel, Intissar, Rachid, Benahmed, Siham, and Pierre-Arthur Groulier
Published: 2021
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5. MM201701

Author: Abdelali Moukhsil, Solgadi, Fabien, Jannin, Sophie, Gervais, F��lix, Crowley, James L., Augland, Lars Eivind, Aphrodite Indares, Letourneau, Marie, Dunning, Gregory R., Clark, Thomas, Gobeil, Andr��, Ohnenstetter, Daniel, Lamothe, Daniel, Intissar, Rachid, Benahmed, Siham, and Pierre-Arthur Groulier
Published: 2021
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6. Recognizing Manipulation Actions from State-Transformations

Author: Aboubakr, Nachwa, Crowley, James L., Ronfard, Rémi, Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE ), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019)
Subjects: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract: Manipulation actions transform objects from an initial state into a final state. In this paper, we report on the use of object state transitions as a mean for recognizing manipulation actions. Our method is inspired by the intuition that object states are visually more apparent than actions from a still frame and thus provide information that is complementary to spatio-temporal action recognition. We start by defining a state transition matrix that maps action labels into a pre-state and a post-state. From each keyframe, we learn appearance models of objects and their states. Manipulation actions can then be recognized from the state transition matrix. We report results on the EPIC kitchen action recognition challenge., Accepted for presentation at EPIC@CVPR2019 workshop
Published: 2019

7. PACE Copper Coompana Drilling Project: U-Pb dating of basement and cover rocks

Author: Jagodzinski, Elizabeth Anne, Bodorkos, Simon, Crowley, James L, Pawley, Mark, and Wise, Tom
Published: 2019
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8. 'Will the Last One Out, Please Turn Off the Lights': Promoting Energy Awareness in Public Areas of Office Buildings

Author: Coutaz, Joëlle, Carlesso, Antonin, Bonnefond, Nicolas, Balzarini, Raffaella, Laurillau, Yann, Mandran, Nadine, Crowley, James L., Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Conception participative, ergonomie, usages pour les systèmes interactifs. Outils et méthodes (MULTICOM), Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Ingénierie de l’Interaction Homme-Machine (IIHM ), ANR-11-EQPX-0002,AmiQual4HOME,AmiLab pour Habitats Intelligents(2011), ANR-15-IDEX-0002,UGA,IDEX UGA(2015), and Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Eco-feedback, Ambient display, Persuasive technology, [INFO]Computer Science [cs], Calm technology, Sustainable HCI, Energy consumption awareness, Energy con- sumption awareness, Office Building, Human-Building Interaction
Abstract: International audience; Most previous research in sustainable HCI has focused on electricity consumption in domestic environments or private office spaces. Here, we address use of lighting in public areas of office buildings with the goal of understanding and measuring how calm technologies can inspire positive engagement by promoting awareness and competition. We have conducted a 15-month study with the design, deployment, and assessment of two complementary ambient apparatus (one centralized, one distributed) in an office building occupied by ICT start-up companies. Our results show that calm technology can be effective under specific conditions, resulting in a significant reduction of average electricity consumption. We also discovered that in the absence of automatic controls, approximately 25% of lighting consumption occurred during off-work hours.
Published: 2018

9. Appsgate, a Programmable Domestic Eco-system: Learning from 'Living in it'

Author: Coutaz, Joëlle, Crowley, James L., Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: smart home, ACM : D.: Software, ACM : H.: Information Systems, ACM: D.: Software, habitat intelligent, end-user development (EUD), ACM: H.: Information Systems, [ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], experimental method, programmation par l’utilisateur final (PUF), End-user programming (EUP), méthode expérimentale, développement par l’utilisateur final (DUF)
Abstract: We present an experience with the development and evaluation of AppsGate, an ecosystem for the home that can be programmed by end-users. We show the benefits from using the homes of the project team members as real-life living-labs. In particular, we discuss the first person perspective experience as an effective way to conduct longitudinal experiments in real world settings. We conclude that a programmable habitat is desirable provided that attention cost is minimized, Cet article présente un retour d’expérience avec la mise en oeuvre et l’évaluation d’AppsGate, un écosystème domestique programmable par l’habitant. Nous montrons l’apport de l’utilisation des domiciles de membres du projet tout au long du processus de développement, et notamment l’intérêt de « vivre avec » comme technique d’expérimentation longitudinale
Published: 2018

10. Put That There

Author: Crowley, James L., Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: Multi-modal Interaction, Cognition, Action, Perception, [INFO]Computer Science [cs]
Abstract: International audience; Humans interact with the world using five major senses: sight, hearing, touch, smell, and taste. Almost all interaction with the environment is naturally multimodal, as audio, tactile or paralinguistic cues provide confirmation for physical actions and spoken language interaction. Multimodal interaction seeks to fully exploit these parallel channels for perception and action to provide robust, natural interaction. Richard Bolt's "Put That There" (1980) provided an early paradigm that demonstrated the power of multimodality and helped attract researchers from a variety of disciplines to study a new approach for post-WIMP computing that moves beyond desktop graphical user interfaces (GUI). In this talk, I will look back to the origins of the scientific community of multimodal interaction, and review some of the more salient results that have emerged over the last 20 years, including results in machine perception, system architectures, visualization, and computer to human communications. Recently, a number of game-changing technologies such as deep learning, cloud computing, and planetary scale data collection have emerged to provide robust solutions to historically hard problems. As a result, scientific understanding of multimodal interaction has taken on new relevance as construction of practical systems has become feasible. I will discuss the impact of these new technologies and the opportunities and challenges that they raise. I will conclude with a discussion of the importance of convergence with cognitive science and cognitive systems to provide foundations for intelligent, human-centered interactive systems that learn and fully understand humans and human-to-human social interaction, in order to provide services that surpass the abilities of the most intelligent human servants. Over the last 35 years, professor Crowley has made a number of fundamental contributions to computer vision, robotics and multi-modal interaction. These include early innovations in scale invariant computer vision, localization and mapping for mobile robots, appearance-based techniques for computer vision, and visual perception for human-computer interaction. Current research concerns context aware observation of human activity, Ambient Intelligence, and new forms of Human-Computer Interaction based on machine perception.
Published: 2018

11. An objective quality metric for panoramic videos

Author: Nabil, Sandra, Devernay, Frédéric, Crowley, James L., Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Interaction située avec les objets et environnements intelligents (PERVASIVE), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract: The creation of high quality panoramic videos for immersive VR content is commonly done using a rig with multiple cameras covering the required scene. Unfortunately, this setup introduces both spatial and temporal artifacts due to the difference in optical centers as well as the imperfect synchronization between them. Therefore, designing quality metrics to assess those videos is becoming increasingly important. Using traditional image quality metrics is not directly applicable due to the lack of a reference image. In addition, such metrics do not capture the geometric nature of such deformations. In this paper, we present a quality metric for panoramic video frames which works by computing pair-wise quality maps prior to blending and fusing them to obtain a global map of potential errors. Our metric is based on an existing one designed for novel view synthesized image, which is a similar problem to image stitching. Results show that applying this quality metric offers a practical way to assess panoramic video frames which do not have a reference. It also consolidates the similarity of the artifacts produced from novel view synthesis algorithms and those produced in the process of image and video stitching.
Published: 2018

12. A Framework for a Multimodal Analysis of Teaching Centered on Shared Attention and Knowledge Access

Author: Dessus , Philippe, Aubineau , Louise-Héléna, Vaufreydaz , Dominique, Crowley , James L., Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire de Recherche sur les Apprentissages en Contexte (LaRAC), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire des Sciences de l'Éducation (Grenoble) ( LSE ), Université Grenoble Alpes ( UGA ) -Université Pierre Mendès France - Grenoble 2 ( UPMF ), Interaction située avec les objets et environnements intelligents ( PERVASIVE ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Université de Grenoble-Alpes-Laboratoire d'Informatique de Grenoble ( LIG ), and Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP )
Subjects: [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, Eye tracking, [SHS.EDU]Humanities and Social Sciences/Education, Classroom Observation, Teacher cognition, [ INFO.INFO-IU ] Computer Science [cs]/Ubiquitous Computing, [ SHS.EDU ] Humanities and Social Sciences/Education, Joint Attention
Abstract: National audience; The effects of teaching on learning are mostly uncertain, hidden, and not immediate. Research investigating how teaching can have an impact on learning has recently been given a significant boost with signal processing devices and data mining analyses.We devised a framework for the study of teaching and learning processes which posits that lessons are composed of episodes of joint attention and access to the taught content, and that the interplay of behaviors like joint attention, actional contingency, and feedback loops compose different levels of teaching. Teaching by social tolerance, which occurs when learners (Ls) have no attentional problems but their access to the taught knowledge depends on the teacher (T). Teaching by opportunity provisioning, when Ls can be aware on the taught content but lack access to it (e.g., lack of understanding), and T builds ad hoc situations in which Ls are provided with easier content. Teaching by stimulus or local enhancement, when Ls have fully access to the content but lack attention toward it. T explicitly shows content to Ls, slows down her behaviors, tells and acts in an adapted way (e.g., motherese).A variety of devices installed in a classroom will capture and automatically characterize these events. T’s and Ls’ utterances and gazes will be recorded through low-cost cameras installed on 3D printed glasses, and T will wear a mobile eye tracker and a mobile microphone. Instructional material is equipped with qrcodes so that Ls’ and T’s video streams are processed to determine where people are looking at, and to infer the corresponding teaching levels.This novel framework will be used to analyze instructional events in ecological situations, and will be a first step to build a ”pervasive classroom”, where eye-tracking and sensor-based devices analyze a wide range of events in a multimodal and interdisciplinary way.
Published: 2018

13. Histogram of Oriented Depth Gradients for Action Recognition

Author: ABOU BAKR, Nachwa, Crowley, James L., Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and GREYC
Subjects: FOS: Computer and information sciences, Vision, Computer Vision and Pattern Recognition (cs.CV), Depth, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Codage MPEG, Reconnaissance d’Actions, Profondeur, ComputingMethodologies_PATTERNRECOGNITION, MPEG encoding, Action Recognition
Abstract: In this paper, we report on experiments with the use of local measures for depth motion for visual action recognition from MPEG encoded RGBD video sequences. We show that such measures can be combined with local space-time video descriptors for appearance to provide a computationally efficient method for recognition of actions. Fisher vectors are used for encoding and concatenating a depth descriptor with existing RGB local descriptors. We then employ a linear SVM for recognizing manipulation actions using such vectors. We evaluate the effectiveness of such measures by comparison to the state-of-the-art using two recent datasets for action recognition in kitchen environments., ORASIS 2017, Jun 2017, Colleville-sur-Mer, France. 2017
Published: 2018

14. A representation for visual information

Author: Crowley, James L.
Subjects: FOS: Computer and information sciences, 80101 Adaptive Agents and Intelligent Robotics
Abstract: Robotics Institute
Published: 2018
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15. U-Pb geochronology of the eastern Coompana Province, South Australia

Author: Jagodzinski, Elizabeth A, Bodorkos, Simon, and Crowley, James L
Published: 2018
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16. Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving

Author: Guntz, Thomas, Balzarini, Raffaella, Vaufreydaz, Dominique, Crowley, James L., Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Subjects: FOS: Computer and information sciences, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Affective Computing, Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Chess Problem Solving, Eye Tracking, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Machine Learning (stat.ML), Multimodal Perception, Human-Computer Interaction (cs.HC)
Abstract: International audience; In this paper we present the first results of a pilot experiment in the capture and interpretation of multimodal signals of human experts engaged in solving challenging chess problems. Our goal is to investigate the extent to which observations of eye-gaze, posture, emotion and other physiological signals can be used to model the cognitive state of subjects, and to explore the integration of multiple sensor modalities to improve the reliability of detection of human displays of awareness and emotion. We observed chess players engaged in problems of increasing difficulty while recording their behavior. Such recordings can be used to estimate a participant's awareness of the current situation and to predict ability to respond effectively to challenging situations. Results show that a multimodal approach is more accurate than a unimodal one. By combining body posture, visual attention and emotion, the multimodal approach can reach up to 93% of accuracy when determining player's chess expertise while unimodal approach reaches 86%. Finally this experiment validates the use of our equipment as a general and reproducible tool for the study of participants engaged in screen-based interaction and/or problem solving.
Published: 2017

17. Evaluation of Programmable Domestic Eco-systems: 'Living in it' as an Experimental Method

Author: Coutaz, Joëlle, Crowley, James L., Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and AFIHM
Subjects: ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI), smart home, Programmation par l’utilisateur final, End-User Programming (EUP), [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], experimental method, méthode expérimentale, habitat intelligent, End-User Development (EUD)
Abstract: International audience; We present an experience with the development and evaluation of AppsGate, an ecosystem for the home that can be programmed by end-users. We show the benefits from using the homes of the project team members as real-life living-labs. In particular, we discuss the first person perspective experience as an effective way to conduct longitudinal experiments in real world settings. We conclude that a programmable habitat is desirable provided that attention cost is minimized.; Cet article présente une expérience avec la mise en œuvre et l’évaluation d’AppsGate, un écosystème domestique programmable par l’habitant. Nous montrons l’apport de l’utilisation des domiciles de membres du projet tout au long du processus de développement, et notamment l’intérêt de « vivre avec » comme technique d’expérimentation longitudinale.
Published: 2017

18. Error Detection in Panoramic Videos: a Pairwise Assessment within Stitching

Author: Nabil, Sandra, Devernay, Frédéric, Crowley, James L., Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Interaction située avec les objets et environnements intelligents (PERVASIVE), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: quality metrics, parallax error, panoramic videos, error prediction, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], image blending, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract: One way to provide realistic immersive VR content relies on producing high-quality panoramic videos. These videos are usually produced using multiple cameras with different optical centers and which may not be perfectly synchronized This results in spatial and temporal artifact, even though the blending algorithm strives to reduce them. In this paper, we devise a method that detects potential visual artifacts, based on existing view synthesis quality metrics. The method works by computing pair-wise quality at each blending step and fusing them to produce a global map of potential errors. To get a more accurate prediction, we develop a mask that is then applied to the error map and therefore accentuates the defects on the blending cutting line. Results show that the calculated distortion map succeeds to identify visual artifacts in panoramas which can help design better solutions to this problem in the future.
Published: 2017

19. Impact of Head Motion on the Assistive Robot Expressiveness - Evaluation with Elderly Persons

Author: Fabien Badeig, Pierre Wargnier, Maribel Pino, Philippe de Oliveira Lopes, Emeric Grange, Crowley, James L., Anne-Sophie Rigaud, Dominique Vaufreydaz, Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre de Recherche en Informatique (CRI), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université Paris sciences et lettres (PSL), Maladie d'Alzheimer : marqueurs génétiques et vasculaires, neuropsychologies (EA 4468), Université Paris Descartes - Paris 5 (UPD5)-Groupe hospitalier Broca, Gériatrie générale et aigüe [Paris], AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), PERVASIVE INTERACTION (PERVASIVE INTERACTION), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Plateforme Robotique d’Assistance et de Maintien A Domicile PRAMAD FUI PRAMAD2, Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique de Grenoble ( LIG ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Centre de Recherche en Informatique ( CRI ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Maladie d'Alzheimer : marqueurs génétiques et vasculaires, neuropsychologie ( EA 4468 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Groupe hospitalier Broca, PERVASIVE INTERACTION, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Laboratoire d'Informatique de Grenoble ( LIG ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), ANR : FUI PRAMAD2,PRAMAD,Plateforme Robotique d’Assistance et de Maintien A Domicile, Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), and ANR: FUI PRAMAD2,PRAMAD,Plateforme Robotique d’Assistance et de Maintien A Domicile
Subjects: Social Robotics, user study, [ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC], [ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], healthcare technologie
Abstract: International audience; In the near future, robots will support human to perform tasks in many domains (industrial, domestic, educational and health tasks).Such robot behaviors need to take into account the social interaction between robot and human.In this context, we focus on the expressiveness of a moving head for an assistive robot for the elderly.We designed a new moving head for the Kompaï companion robot.On one hand, this new head improves its perception capabilities.On the other hand, we expect to jointly increase its social skills and thus its acceptability.This new head is composed of a tablet to animate a virtual face according to 4 facial expressions and a mechanical neck with 4 degrees of freedom to enhance the robot's expression.Before improving face expressions and adding more complex head movements, it is essential to evaluate the combination of simple head movements with virtual face expressions. A study was held jointly with physicians (psychologists, ergonomists) at the Broca Hospital in Paris to assess the impact to combine head movements with virtual face expressions, and the global acceptability of the Kompaï head by the elderly.
Published: 2016

20. Rendu basé image avec contraintes sur les gradients

Author: Grégoire Nieto, Frédéric Devernay, Crowley, James L., Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), PERVASIVE INTERACTION (PERVASIVE INTERACTION), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Interaction située avec les objets et environnements intelligents (PERVASIVE), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)
Subjects: [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computational Photography, Image-Based Rendering, 3D Reconstruction, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Abstract: International audience; Multi-view image-based rendering consists in generating a novel view of a scene from a set of source views. In general, this works by first doing a coarse 3D reconstruction of the scene, and then using this reconstruction to establish correspondences between source and target views, followed by blending the warped views to get the final image. Unfortunately, discontinuities in the blending weights, due to scene geometry or camera placement, result in artifacts in the target view. In this paper, we show how to avoid these artifacts by imposing additional constraints on the image gradients of the novel view. We propose a variational framework in which an energy functional is derived and optimized by iteratively solving a linear system. We demonstrate this method on several structured and unstructured multi-view datasets, and show that it numerically outperforms state-of-the-art methods, and eliminates artifacts that result from visibility discontinuities; Le rendu basé image consiste à générer un nouveau point de vue à partir d'un ensemble de photos d'une scène. On commence en général par effectuer une reconstruction 3D approximative de la scène, utilisée par la suite pour synthétiser l'image cherchée à partir des images sources. Malheureusement, les discontinuités dans les poids des images sources, dues à la géométrie de la scène ou au placement des caméras, causent des artefacts visuels dans la vue résultante. Dans cet article nous montrons qu'une façon d'éviter ces artefacts est d'imposer des contraintes supplémentaires sur le gradient de l'image synthétisée. Nous proposons une approche variationnelle suivant laquelle l'image cherchée est solution d'un système linéaire résolu de façon itérative. Nous testons la méthode sur plusieurs jeux de données multi-vues structurés et non-structurés, et nous montrons que non seulement elle est plus performante que les méthodes de l'état de l'art, mais elle élimine aussi les artefacts créés par les discontinuités de visibilité.
Published: 2016

21. A Proposal for Qualities for Smart Objects

Author: Crowley, James L., Joelle Coutaz, Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), ANR-11-EQPX-0002,AmiQual4HOME,AmiLab pour Habitats Intelligents(2011), and European Project: CA 110,AppsGate
Subjects: Smart Objects, Situated Interaction, [INFO]Computer Science [cs], Software Qualities
Abstract: International audience; In this position paper, we explore qualities for describing the autonomy, suitability and composability of smart objects. The specific set of qualities proposed below is tentative and incomplete. Our intention is to trigger discussion and debate within the scientific community in order to arrive at a consensus. If successful, a longer, more complete paper will then be prepared to communicate the results.
Published: 2016

22. Placement optimal de caméras contraintes pour la synthèse de nouvelles vues

Author: Grégoire Nieto, Frédéric Devernay, Crowley, James L., Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Reconstruction 3D, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], propagation d'erreur, synthèse de nouvelle vue, rendu basé image
Abstract: International audience; Nous étudions le problème du placement optimal sous contraintes, de plusieurs caméras, pour la synthèse de nouvelles vues. Une telle configuration optimale est définie comme celle qui minimise l'incertitude de projection des pixels des caméras de prise de vue sur la vue à synthétiser. Le rendu de cette vue est souvent précédé d'une phase de reconstruction 3D approximative. Nous dérivons la matrice de covariance associée à l'incertitude sur la géométrie, puis nous propageons l'erreur sur le plan de la nouvelle vue. Nous observons l'influence de l'interoculaire et de la distance focale des caméras sur l'erreur projetée, pour des distributions de points aléatoires à diverses profondeurs.
Published: 2015

23. Learning about End-User Development for Smart Homes by ' Eating Our Own Dog Food '

Author: Joelle Coutaz, Crowley, James L., Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), ACM, ANR-11-EQPX-0002,AmiQual4HOME,AmiLab pour Habitats Intelligents(2011), European Project: CA 110,AppsGate, Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: FOS: Computer and information sciences, ubiquitous computing ACM Classification Keywords D26 Programming Environments: Interactive environments H52 User Interfaces, smart home, End-user programming, Computer Science - Human-Computer Interaction, end-user development, connected home, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Human-Computer Interaction (cs.HC)
Abstract: International audience; SPOK is an End-User Development Environment that permits people to monitor, control, and configure smart home services and devices. SPOK has been deployed for more than 4 months in the homes of 5 project team members for testing and refinement, prior to longitudinal experiments in the homes of families not involved in the project. This article reports on the lessons learned in this initial deployment.
Published: 2015

24. Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System

Author: Straub, Bernd-Michael, Gerke, Markus, Pahl, Martin, Crowley, James L., Piater, Justus H., Vincze, Markus, Paletta, Lucas, Department of Earth Observation Science, and Faculty of Geo-Information Science and Earth Observation
Subjects: Active contour model, Computer science, Delaunay triangulation, business.industry, EOS, Relative neighborhood graph, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, ADLIB-ART-130, Tree (graph theory), Image (mathematics), Operator (computer programming), Artificial intelligence, business, Row, Aerial image
Abstract: We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.
Published: 2003

25. Facial Expression Analysis and The PAD Space

Author: Jain, Varun, Crowley, James L., Lux, Augustin, Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), and Russian Academy of Sciences
Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; In this paper we present a technique for facial expression analysis and representing the underlying emotions in the PAD (Pleasure-Arousal-Dominance) space. We develop a purely appearance based approach using Multi-scale Gaussian derivatives and Support Vector Machines. The system can generalize well and is shown to outperform the baseline method.
Published: 2013

26. Smile Detection Using Multi-scale Gaussian Derivatives

Author: Jain, Varun, Crowley, James L., Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), and Jain, Varun
Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; In this paper we show that Multi-scale Gaussian Derivatives combined with Support Vector Machines provide an effective approach to facial expression analysis.The approach was tested on the GENKI and Cohn-Kanade dataset for detecting smiles. Our approach outperformed the current benchmark approach of using Gabor Energy Filters with Support Vector Machines.
Published: 2013

27. Human Activity Recognition in Smart Environments (Dagstuhl Seminar 12492)

Author: Crowley, James L., Kunze, Kai, Lukowicz, Paul, and Schmidt, Albrecht
Subjects: 000 Computer science, knowledge, general works, Computer Science
Abstract: This report documents the program and the outcomes of Dagstuhl Seminar 12492 "Human Activity Recognition in Smart Environments". We established the basis for a scientific community surrounding "activity recognition" by involving researchers from a broad range of related research fields. 30 academic and industry researchers from US, Europe and Asia participated from diverse fields including pervasive computing, over network analysis and computer vision to human computer interaction. The major results of this Seminar are the creation of a activity recognition repository to share information, code, publications and the start of an activity recognition book aimed to serve as a scientific introduction to the field. In the following, we go into more detail about the structure of the seminar, discuss the major outcomes and give an overview about discussions and talks given during the seminar.
Published: 2013
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28. Détection et apprentissage automatique d'objets pour la modélisation de milieux intérieurs

Author: Marion Decrouez, Romain Dupont, François Gaspard, Frédéric Devernay, Crowley, James L., Cordier, Amélie, Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA))
Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], SLAM par vision, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Sac de mots, Détection d'objets, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Reconnaissance de lieu, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract: Session "Posters" - Site conf.: http://liris.cnrs.fr/rfia2012; National audience; Nous présentons dans cet article une nouvelle méthode pour la modélisation des objets et de la scène dans un environnement intérieur inconnu. Les milieux intérieurs sont composés d'une quantité d'objets susceptibles d'être déplacés. Nous souhaitons exploiter les multiples passages d'une caméra dans un même lieu et tirer parti de ces déplacements pour modéliser d'une part la structure de la scène et d'autre part les objets le constituant. Nous proposons une association de méthodes de SLAM métrique et de reconnaissance de lieu pour détecter et représenter les objets de façon automatique et enrichir la connaissance de la scène. Abstract: This paper presents a new solution for modeling the scene and the objects in unknown environments. Many objects in indoor environments are likely to be moved. We want to make the most of several observations of a camera in the same scene to represent the different places and objects. We propose to combine methods of metrical localization and place recognition to detect and model objects and extend the scene model.
Published: 2012

29. BetaSAC : Un nouvel échantillonnage conditionnel pour RANSAC

Author: Meler, Antoine, Decrouez, Marion, Crowley, James L., Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), and Crowley, James
Subjects: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract: Session: Appariement - http://orasis2011.inrialpes.fr/programme; National audience
Published: 2011

30. Modélisation explicite des objets et de l'environnement en combinant les approches topologique et métrique pour la localisation

Author: Marion Decrouez, Romain Dupont, François Gaspard, Frédéric Devernay, Crowley, James L., Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), INRIA Grenoble Rhône-Alpes, Laboratoire d'Intégration des Systèmes et des Technologies (LIST), and Devernay, Frédéric
Subjects: bag of words, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], place recognition, Visual SLAM, objects
Abstract: This paper presents a new formulation of place recognition in unknown environments. Many objects in indoor environments are likely to be moved. We want to make the most of several observations of a camera in the same scene to represent the different places and objects. We propose to combine methods of metrical and topological localization to detect and model objects. We present also a probabilistic approach for place recognition that considers the objects., Nous présentons dans cet article une nouvelle formulation de la modélisation et de la reconnaissance de lieu. Les milieux intérieurs sont composés d'une quantité d'objets susceptibles d'être déplacés. Nous souhaitons exploiter les multiples passages d'une caméra dans un même environnement pour modéliser d'une part la structure de la scène et d'autre part les objets le constituant. Nous proposons une association de méthodes de SLAM métrique et topologique pour détecter et représenter les objets, ainsi qu'un formalisme probabiliste pour la reconnaissance de lieu prenant en compte l'évolution des objets.
Published: 2011

31. The First Four Years (2007-2010) and Beyond - Volume 1: Research Program and Activity Report

Author: Balacheff, Nicolas, Buccio, Béatrice, Chapuis, Patrick, Coutin, Jacky, Coutaz, Joëlle, Crowley, James L., Denneulin, Yves, Du Bousquet, Lydie, Duda, Andrzej, Echahed, Rachid, Fauvet, Marie-Christine, Garbay, Catherine, Gaussier, Eric, Guillet, Isabelle, Laugier, Christian, Ledru, Yves, Legrand, Arnaud, Mandran, Nadine, Martin, Hervé, Méhaut, Jean-François, Morturier, Thierry, Plateau, Brigitte, Pons, Elisabeth, Prévost, Joëlle, Prost, Frédéric, Quint, Vincent, Reignier, Patrick, Rousseau, Franck, Rousset, Marie-Christine, Rutten, Eric, Vacher, Michel, MeTAH, Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), IIHM (LIG Laboratoire d'Informatique de Grenoble), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut National de Recherche en Informatique et en Automatique (Inria), Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Middleware efficiently scalable (MESCAL), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), VASCO (LIG Laboratoire d'Informatique de Grenoble), Drakkar, CAPP (LIG Laboratoire d'Informatique de Grenoble), Modélisation et Recherche d’Information Multimédia [Grenoble] (MRIM), Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Analyse de données, Modélisation et Apprentissage automatique [Grenoble] (AMA), Geometry and Probability for Motion and Action (E-MOTION), STEAMER (LIG Laboratoire d'Informatique de Grenoble), Web, adaptation and multimedia (WAM), HADAS (LIG Laboratoire d'Informatique de Grenoble), System architecture for reflective distributed computing environments (SARDES), Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole (GETALP), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Ingénierie de l’Interaction Homme-Machine (IIHM), Validation de Systèmes, Composants et Objets logiciels (VASCO), Calculs algorithmes programmes et preuves (CAPP), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Spatio-temporal information systems (STEAMER), Heterogeneous and Adaptive distributed DAta management Systems (HADAS), Modèles et Technologies pour l’Apprentissage Humain (MeTAH), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes
Subjects: [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
Abstract: 83 pages; This document presents the LIG in two parts. The first part (Volume 1) presents three aspects of the LIG: (1) organisation, (2) results obtained in the first four-year period, and (3) the scientific projects for the next five years. The second part (Volume 2) presents the 23 teams of the laboratory.
Published: 2011

32. 'How old are you?' A possible answer using Tensors of Binary Gaussian Receptive Maps

Author: Ruiz Hernandez, John Alexander, Crowley, James L., Lux, Augustin, Reignier, Patrick, Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; no abstract
Published: 2010

33. Proposition d'une unité mixte de recherche 2007-2010, CNRS-INP-INRIA-UJF-UPMF

Author: Balacheff, Nicolas, Crowley, James L., Garbay, Catherine, Ouabdesselam, Farid, Plateau, Brigitte, MeTAH, Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), MAGMA, Institut d'Informatique et de Mathématiques Appliquées de Grenoble (IMAG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Middleware efficiently scalable (MESCAL), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Modèles et Technologies pour l’Apprentissage Humain (MeTAH), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), and Modélisation d’agents autonomes en univers multi-agents (MAGMA)
Subjects: [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing
Abstract: no abstract
Published: 2009

34. Situation Modeling

Author: Brdiczka, Oliver, Crowley, James L., Curin, Jan, Kleindienst, Jan, Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Waibel, Alexander, Stiefelhagen, Rainer, Reignier, Patrick, and Waibel, Alexander, Stiefelhagen, Rainer
Subjects: [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing, 020201 artificial intelligence & image processing, 02 engineering and technology, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; no abstract
Published: 2009

35. Time to contact for obstacle avoidance

Author: Alenya, Guillmem, Nègre, Amaury, Crowley, James L., Institut de Robòtica i Informàtica Industrial (IRI), Universitat Politècnica de Catalunya [Barcelona] (UPC)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Geometry and Probability for Motion and Action (E-MOTION), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Perception, recognition and integration for observation of activity (PRIMA), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universitat Politècnica de Catalunya [Barcelona] (UPC), Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Inria Grenoble - Rhône-Alpes, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Bayesian driving, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Time to contact, Obstacle avoidance
Abstract: Presentado al ECMR'09 celebrado en Croacia del 23 al 25 de septiembre., Time to Contact (TTC) is a biologically inspired method for obstacle detection and reactive control of motion that does not require scene reconstruction or 3D depth estimation. TTC is a measure of distance expressed in time units. Our results show that TTC can be used to provide reactive obstacle avoidance for local navigation. In this paper we describe the principles of time to contact and show how time to contact can be measured from the rate of change of size of features. We show an algorithm for steering a vehicle using TTC to avoid obstacles while approaching a goal. We present the results of experiments for obstacle avoidance using TTC in static and dynamic environments., This work was supported by the project 'Percepción y acción ante incertidumbre' (4803).
Published: 2009

36. Situation Models: A Tool for Observing and Understanding Activity

Author: Crowley, James L., Reignier, Patrick, Barraquand, Rémi, Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Reignier, Patrick, Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), and European Project: 26125,CHIL
Subjects: [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, Context Aware System, Situation Modeling, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], People Tracking, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; In this paper we describe the use of situation models for observing and understanding activity. Observing activity in natural environments can be an extremely complex perceptual problem. Situation models provide a means to both focus attention in such systems and to provide default reasoning to accommodate missing and erroneous observations. We briefly review the use of situations models in Cognitive Science and then describe how such models can be used to provide services based on observation of human activity. We present a layered component-oriented software architecture in which components for perception and action maintain a situation model for use in providing human services.
Published: 2009

37. REINFORCED LEARNING OF CONTEXT MODELS FOR UBIQUITOUS COMPUTING. Application to a ubiquitous personal assistant

Author: Zaidenberg, Sofia, Reignier, Patrick, Crowley, James L., Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Jorge Cardoso, and Zaidenberg, Sofia
Subjects: [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, context models, services, task delegation, [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing, virtual assistant, ubiquitous computing, auto-adaptative system, intelligent agent, Reinforced learning
Abstract: International audience; Ubiquitous environments may become a reality in a foreseeable future and research is aimed on making them more and more adapted and comfortable for users. Our work consists on applying reinforcement learning techniques in order to adapt services provided by a ubiquitous assistant to the user. The learning produces a context model, associating actions to perceived situations of the user. Associations are based on feedback given by the user as a reaction to the behavior of the assistant. Our method brings a solution to some of the problems encountered when applying reinforcement learning to systems where the user is in the loop. For instance, the behavior of the system is completely incoherent at the beginning and needs time to converge. The user does not accept to wait that long to train the system. The user's habits may change over time and the assistant needs to integrate these changes quickly. We study methods to accelerate the reinforced learning process.
Published: 2008

38. Autonomic Computer Vision Systems

Author: Crowley, James L., Hall, Daniela, and Emonet, Remi
Subjects: The 5th International Conference on Computer Vision Systems, layered service architecture, automatic system regulation, autonomic computing, DDC: 004 (Data processing, computer science, computer systems)
Abstract: Most computer vision systems perform well under controlled laboratory conditions, but require lengthy set up and "tuning" by experts when installed in new operating conditions. Unfortunately, for most real applications of computer vision, the operating conditions frequently change. These changes degrade system performance and can even cause complete system failure, requiring intervention by a trained engineer. The requirement for installation and frequent maintenance by highly trained experts seriously inhibits the commercial application of computer vision systems. In this talk we discuss ways in which autonomic computing can reduce the cost of installation and configuration, as well as enhance reliability, for practical computer vision systems. We begin by reviewing the origins of autonomic computing. We then describe the design of a computer vision system as a software component within a layered service architecture. We describe techniques for regulation of internal parameters, error detection and recovery, self description, and self configuration for vision systems. These methods will be illustrated with results from the IST projects FAME, CAVIAR and CHIL., International Conference on Computer Vision Systems : Proceedings, The 5th International Conference on Computer Vision Systems (ICVS)
Published: 2007
Full Text: View/download PDF

39. An architecture for ubiquitous applications

Author: Zaidenberg, Sofia, Reignier, Patrick, Crowley, James L., Perception, recognition and integration for observation of activity (PRIMA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Soraya Kouadri Mostéfaoui and Zakaria Maamar and George M. Giaglis, Reignier, Patrick, Puneet, Shweta, Zaidenberg, Sofia, and Crowley, James
Subjects: ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.12: Interoperability, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.11: Software Architectures, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], middleware, deployment, [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], ubiquitous computing, ACM: D.: Software, ComputingMilieux_MISCELLANEOUS, distributed application
Abstract: International audience; This paper proposes a framework intended to help developers to create ubiquitous applications. We argue that context is a key concept in ubiquitous computing and that, by nature, a ubiquitous application is distributed and needs to be easily deployable. Thus we propose an easy way to build applications made of numerous modules spread in the environment and interconnected. This network of modules forms a permanently running system. The control (installation, update, etc.) of such a module is obtained by a simple, possibly remote, command and without requiring to stop the whole system. We ourselves used this architecture to create a ubiquitous application, which we present here as an illustration.
Published: 2007

40. Services Platforms for Context-Aware Applications

Author: Dockhorn Costa, P., Ferreira Pires, Luis, van Sinderen, Marten J., Rios, D., Markopoulos, Panos, Eggen, Berry, Aarts, Emile, and Crowley, James L.
Subjects: EWI-7095, METIS-223882, IR-63475, SCS-Services
Abstract: Context-aware services platforms aim at supporting the handling of contextual information in order to provide better user-tailored services. This paper addresses our current efforts towards a configurable and extensible services platform for context-aware applications. It discusses the use of a language and ontologies to cope with configurability and extensibility aspects
Published: 2004

41. Context-Aware, Ontology-Based Service Discovery

Author: Broens, T.H.F., Pokraev, S., van Sinderen, Marten J., Koolwaaij, Johan, Dockhorn Costa, P., Markopoulos, Panos, Eggen, Berry, Aarts, Emile, and Crowley, James L.
Subjects: Service (business), Matching (statistics), Semantics (computer science), Computer science, Process (engineering), Service discovery, METIS-223881, Context (language use), Ontology (information science), computer.software_genre, World Wide Web, IR-66480, Ontology, Web service, EWI-7420, SCS-Services, computer
Abstract: Service discovery is a process of locating, or discovering, one or more documents, that describe a particular service. Most of the current service discovery approaches perform syntactic matching, that is, they retrieve services descriptions that contain particular keywords from the user’s query. This often leads to poor discovery results, because the keywords in the query can be semantically similar but syntactically different, or syntactically similar but semantically different from the terms in a service description. Another drawback of the existing service discovery mechanisms is that the query-service matching score is calculated taking into account only the keywords from the user’s query and the terms in the service descriptions. Thus, regardless of the context of the service user and the context of the services providers, the same list of results is returned in response to a particular query. This paper presents a novel approach for service discovery that uses ontologies to capture the semantics of the user’s query, of the services and of the contextual information that is considered relevant in the matching process.
Published: 2004

42. Appearance based processes for visual navigation

Author: Andersen, Claus S., Jones, Stephen D., Crowley, James L., and France, Christensen, Henrik I. (ed.) and in: Proceedings og the International Conference on Intelligent Robots and Systems, September 1997, Grenoble
Published: 1997

43. Visual processes for tracking and recognition of hand gestures

Author: Crowley, James L., Martin, Jérôme, Laboratoire d'Informatique de Grenoble (LIG), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)
Subjects: gestures, [SHS.EDU]Humanities and Social Sciences/Education, epistemic feedback, tracking analysis, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning
Abstract: This paper describes experiments with techniques for tracking hands and recognizing gestures. Complementary techniques are presented for detecting and tracking hands and tools. These techniques are integrated within a system which uses multiple image processing techniques to estimate the position and orientation of a hand. Images of the tracked hand are normalized in orientation and position and then projected into a principal components space. Hand configurations are represented using a probabilistic classification. Gestures are recognized in this space as sequences of hand configurations using finite state machines. 1 Direct Manipulation of Objects as an Interaction Modality Human gesture serves three functional roles [4]: semiotic, ergotic, and epistemic. The semiotic function of gesture is to communicate meaningful information. The structure of a semiotic gesture is conventional and commonly results from shared cultural experience. The good-bye gesture, the American sign language... (http://www-prima.imag.fr/Prima/Homepages/jlc/papers/PUI97.Crowley.pdf)
Published: 1997

44. Vision as Process:ESPRIT BR-7108

Author: Granum, Erik, Crowley, James L., Chehikian, Alain, Kittler, Josef, Eklundh, Jan-Olof, and Granlund, Gösta
Published: 1996

45. A representation for shape based on peaks and ridges in the difference of low-pass transform

Author: Crowley, James L. and Parker, Alice Cline
Subjects: FOS: Computer and information sciences, 80101 Adaptive Agents and Intelligent Robotics
Abstract: Robotics Institute
Published: 1983
Full Text: View/download PDF

46. A computational paradigm for three dimensional scene analysis

Author: Crowley, James L.
Subjects: FOS: Computer and information sciences, 80101 Adaptive Agents and Intelligent Robotics
Abstract: Robotics Institute
Published: 1984
Full Text: View/download PDF

47. Machine Vision: Three Generations of Commercial Systems

Author: Crowley, James L.
Subjects: FOS: Computer and information sciences, 80101 Adaptive Agents and Intelligent Robotics
Abstract: CMU-RI-TR-84-01
Published: 1984
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48. Projet ORASIS

Author: Berthod, Marc, Castan, S., Crowley, James L., Faugeras, Olivier, Mohr, Roger, Rives, Patrick, Scene Analysis and Symbolic Image Processing (PASTIS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire d'Informatique Fondamentale et d'Intelligence Artificielle (LIFIA), Institut National Polytechnique de Grenoble (INPG), Centre de Recherche en Informatique de Nancy (CRIN), Université Henri Poincaré - Nancy 1 (UHP)-Centre National de la Recherche Scientifique (CNRS), and Instrumentation, control and architecture of advanced robots (ICARE)
Subjects: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract: Ce rapport présente les résultats des activités menées en Vision dans le cadre du projet ORASIS rattaché au PRC Communication Homme-Machine. Ces résultats portent sur la stéréovision, la segmentation d'images, la modélisation des incertitudes en perception et l'interprétation des scènes.
Published: 1987

49. Designing objective quality metrics for panoramic videos based on human perception

Author: Sandra Nabil, Raffaella Balzarini, Frédéric Devernay, Crowley, James L., Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Interaction située avec les objets et environnements intelligents (PERVASIVE), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut National de Recherche en Informatique et en Automatique (Inria), LIVE360TV FUI 19 project, and ANR-11-EQPX-0002,AmiQual4HOME,AmiLab pour Habitats Intelligents(2011)
Subjects: Panoramic Videos, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], Quality Assessment, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SCCO.COMP]Cognitive science/Computer science, Parallax Errors, Human Perception
Abstract: International audience; The creation of high quality panoramic videos for immersive VR content is commonly done using a rig with multiple cameras covering the required scene. Unfortunately, this setup introduces both spatial and temporal artifacts due to the difference in optical centers as well as imperfect synchronization of cameras. Traditional image quality metrics are inadequate for describing geometric distortions in panoramic videos. In this paper, we propose an objective quality assessment approach for calculating these distortions based on optical flow coupled with an existing salience detection model. Our approach is validated with a human-centered study using error annotations and eye-tracking. Preliminary results indicate a good correlation between errors detected by the algorithm and human perception of errors.

50. Multimodal perception and sociable interaction

Author: Vaufreydaz, Dominique, Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Plateforme Robotique d’Assistance et de Maintien A Domicile PRAMAD FUI PRAMAD2, Université Grenoble Alpes (France), MSTII, Crowley James L., ANR-06-TCOM-0020,CASPER,Communication et Assistance Ambiante par Analyse d'ActivitéS pour les PERsonnes âgées et déficientes cognitives(2006), ANR-15-CE23-0005,CEEGE,Estimation d'expertise en echec a partir de l'observation de fixation et emotion(2015), ANR-13-JS01-0010,VALET,Renormalisation et théorèmes limites en théorie ergodique (VALET=Vershik's automorphisms, limits in ergodic theory)(2013), ANR-17-CE22-0010,Hianic,Navigation autonome dans des foules inspirée par les humains(2017), ANR-11-EQPX-0002,AmiQual4HOME,AmiLab pour Habitats Intelligents(2011), European Project: 26125,CHIL, and European Project: IST-2000-28323,FAME
Subjects: interaction sociable, perception multimodale, traitement du signal, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], computer vision, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, machine learning, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, multimodal perception, vision par ordinateur, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO]Computer Science [cs], apprentissage machine, sociable interaction, signal processing
Abstract: L’une des tâches les plus complexes pour laquelle les ordinateurs ont été programmés concerne le mimétisme des capacités de perception et d’interaction des humains en utilisant tout d’abord des informations monomodales (acoustiques, visuelles, tactiles, de proprioception, …) puis multimodales en combinant plusieurs modalités. À partir de ces capacités de perception, les systèmes interactifs, c’est-à-dire les systèmes interagissant avec des humains, peuvent être sensibles à l’environnement qui les entoure, aux utilisateurs présents, à la situation courante… Cela leur permet de percevoir, comprendre et prédire pour agir en conséquence, voire d’agir d’une manière sociable pour être un partenaire des humains à part entière.La perception multimodale par ordinateur et les interactions sociables sont les problématiques de fond de mes travaux depuis mon recrutement en tant que Maître de conférences en 2005, le traitement du signal (« signal processing ») et l’apprentissage automatique (« machine learning ») en étant les fondements. Ce manuscrit présente mes travaux sur la perception multimodale et les interactions sociables dans plusieurs contextes en les regroupant autour de mes thématiques de recherche principales.Ce manuscrit aborde tout d’abord la perception multimodale ubiquitaire au sein d’espaces perceptifs multimodaux tels les salles de réunions augmentées, les appartements équipés pour le maintien de personnes âgées/fragiles à domicile ou des espaces à plus grande échelle comme les bâtiments d’un campus universitaire. Faisant suite aux progrès en robotique, cette perception s’est naturellement déplacée des environnements perceptifs vers les robots mobiles, permettant des interactions sociables entre les humains et des robots compagnons (Human Robot Interaction - HRI) mais aussi avec des robots particuliers que sont les véhicules autonomes. Les travaux de recherche concernant la perception des humains et de leurs affects sont ensuite présentés via mes recherches sur la perception en champ proche (< 1 m) et sur la détection des humains et de leurs comportements autour de nos systèmes interactifs, base nécessaire à leur fonctionnement. Nos travaux préliminaires sur la détection de personnes en utilisant de l’apprentissage profond (« Deep Learning ») sont décrits. Ce manuscrit se clôt en présentant les directions et les perspectives de mon projet de recherche intitulé « Perception multimodale et interaction sociable ».
Published: 2018

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