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835 results on '"Crowley, James L"'

256. The leaky chronometer: Evidence for systematic cryptic Pb loss in laser ablation U‐Pb dating of zircon relative to CA‐TIMS.

Author

Howard, Benjamin L., Sharman, Glenn R., Crowley, James L., and Wersan, Ellen Reat

Subjects
*GEOLOGICAL time scales, *LASER ablation, *CRYSTALLINE rocks, *LASER ablation inductively coupled plasma mass spectrometry, *SEDIMENTARY rocks, *ZIRCON
Abstract

U–Pb dating of zircon via laser ablation‐inductively coupled plasma‐mass spectrometry (LA‐ICP‐MS) has become a primary method for determining the age of crystalline rocks and the provenance and maximum depositional age of (meta)sedimentary rocks. Although chemical abrasion has become a standard approach for mitigating Pb loss in zircon dated via high‐resolution thermal ionization mass spectrometry (CA‐TIMS), laser ablation dating is rarely accompanied by chemical abrasion. We evaluate the accuracy of U–Pb dates acquired via LA‐ICP‐MS relative to CA‐TIMS through analysis of a large database of paired analyses from the same zircon crystals. We show that laser ablation 206Pb/238U dates are systematically younger than their CA‐TIMS counterparts, with a greater shift in detrital zircon (−2.0%) versus igneous or metamorphic zircon (−0.9%). Although systematic biases related to “matrix effects” may be a contributing factor, our analysis suggests that unmitigated cryptic Pb loss is likely widespread in laser ablation U–Pb datasets. [ABSTRACT FROM AUTHOR]

Published
2024
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257. Intelligent robotics systems - IRS '93

Author

Crowley, James L.

Subjects
Robotics -- Conferences, meetings and seminars, Computers
Abstract

The Intelligent Robotics System (IRS) '93 symposium featured 'behavioral' approaches and techniques for neural and fuzzy control based on autonomous driving. The program schedule consisted of talks and visual shows with a demonstration of automatic driving system by the Carnegie Mellon University in Pittsburgh, PA. The symposium brought out the unified works of Eastern and Western Europe and North American scientists.

Published
1994

258. Precise U-Pb zircon ages and geochemistry of Jurassic granites, Ellsworth-Whitmore terrane, central Antarctica

Author

Craddock, John P., Schmitz, Mark D., Crowley, James L., Larocque, Jeremiah, Pankhurst, Robert J., Juda, Natalie, Konstantinou, Alexandros, Storey, Bryan, Craddock, John P., Schmitz, Mark D., Crowley, James L., Larocque, Jeremiah, Pankhurst, Robert J., Juda, Natalie, Konstantinou, Alexandros, and Storey, Bryan

Abstract

The Ellsworth-Whitmore Mountain terrane of central Antarctica was part of the early Paleozoic amalgamation of Gondwana, including a 13,000 m section of Cambrian–Permian sediments in the Ellsworth Mountains deposited on Grenville-age crust. The Jurassic breakup of Gondwana involved a regional, bimodal magmatic event during which the Ellsworth-Whitmore terrane was intruded by intraplate granites before translation of the terrane to its present location in central Antarctica. Five widely separated granitic plutons in the Ellsworth-Whitmore terrane were analyzed for their whole-rock geochemistry (X-ray fluorescence), Sr, Nd, and Pb isotopic compositions, and U-Pb zircon ages to investigate the origins of the terrane magmas and their relationships to mafic magmatism of the 183 Ma Karoo-Ferrar large igneous province (LIP). We report high-precision (±0.1 m.y.) isotope dilution–thermal ionization mass spectrometry (ID-TIMS) U-Pb zircon ages from granitic rocks from the Whitmore Mountains (208.0 Ma), Nash Hills (177.4–177.3 Ma), Linck Nunatak (175.3 Ma), Pagano Nunatak (174.8 Ma), and the Pirrit Hills (174.3–173.9 Ma), and U-Pb sensitive high-resolution ion microprobe (SHRIMP) ages from the Whitmore Mountains (200 ± 5 Ma), Linck Nunatak (180 ± 4 Ma), Pagano Nunatak (174 ± 4 Ma), and the Pirrit Hills (168 ± 4 Ma). We then compared these results with existing K-Ar ages and Nd model ages, and used initial Sr, Nd, and Pb isotope ratios, combined with xenocrystic zircon U-Pb inheritance, to infer characteristics of the source(s) of the parent magmas. We conclude that the Jurassic plutons were not derived exclusively from crustal melts, but rather they are hybridized magmas composed of convecting mantle, subcontinental lithospheric mantle, and lower continental crustal contributions. The mantle contributions to the granites share isotopic similarities to the sources of other Jurassic LIP mafic magmas, including radiogenic 87Sr/86Sr (0.706–0.708), unradiogenic 143Nd/144Nd (εNd < –5

Published
2017

259. 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

260. 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
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261. 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

270. 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

271. 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

272. THINGS THAT SEE.

Author

Crowley, James L., Coutaz, Joëlle, and Bérard, François

Subjects
*COMPUTER vision, *HUMAN-computer interaction, *COMPUTER software, *USER interfaces, *ERGONOMICS, *SYSTEMS design, *COMMUNICATION & technology
Abstract

The article explores machine vision for human-computer interaction. The exponential decrease in costs of computation and of communication is rapidly leading to convergence and ubiquity. At the same time, inexpensive computing power is enabling a quiet revolution in the machine perception of human action. In the near future, machine perception will converge with ubiquitous computing and communication. This convergence may lead to the widespread introduction of things and environments that see. However, reaping these benefits of ubiquitous perception will require consideration of human abilities and social needs as an integral part of system design. Research in human-computer interaction has developed cognitive theories, design methods and software tools for building useful and usable systems. Scientific results and empirical studies have led to sound principles such as that of direct manipulation. For nearly two decades, however, direct manipulation has been instantiated in the form of the "electronic desktop metaphor," jeopardizing the directness of the physical world.

Published
2000
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273. 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

279. New toxodontid (Notoungulata) from the Early Miocene of Mendoza, Argentina

Author

Forasiepi, Analía M, Cerdeño, Esperanza, Bond, Mariano, Schmidt, Gabriela I, Naipauer, Maximiliano, Straehl, Fiona R, Martinelli, Agustín G, Garrido, Alberto C, Schmitz, Mark D, Crowley, James L, Forasiepi, Analía M, Cerdeño, Esperanza, Bond, Mariano, Schmidt, Gabriela I, Naipauer, Maximiliano, Straehl, Fiona R, Martinelli, Agustín G, Garrido, Alberto C, Schmitz, Mark D, and Crowley, James L

Abstract

We describe a new toxodontid species, Nesodon taweretus sp. nov., from the Aisol Formation in Mendoza Province, central-west Argentina. Nesodon is a frequently found Toxodontidae, member of the Notoungulata, an extinct endemic group of Cenozoic South American mammals that are ecologically similar to current hoofed ungulates. The holotype of N. taweretus sp. nov. is a skull, and we tentatively assign some mandibular fragments and postcranial bones. N. taweretus sp. nov. differs from the other Nesodon species in several cranial and dental features, and close comparisons were made with the Patagonian Nesodon imbricatus, common in the Santa Cruz Formation (Santacrucian Age, Early Miocene). The material is of a similar size to N. imbricatus, with a body mass estimation of about 550 kg. The phylogenetic analysis groups N. taweretus sp. nov. with other species of Nesodon. The absolute age of the Aisol Formation has been established at ca 19.480 ± 0.025 Ma (Burdigalian; Early Miocene) by means of U–Pb zircon dating. The vertebrate association is encompassed by the Santacrucian Age. Latitudinal separation between Mendoza and Patagonia in the south would have favored taxonomic differences, as reflected in the species of Nesodon. = Wir beschreiben eine neue Art der Toxodontiden, Nesodon taweretus sp. nov., aus der Aisol-Formation in der Provinz Mendoza, im Zentralwesten von Argentinien. Nesodon ist ein häufig vorkommendes Taxon der Toxodontidae, die zu den Notoungulaten, einer ausgestorbenen Gruppe von endemischen Säugetieren des Känozoikums in Südamerika, gehören und den rezenten gehuften Ungulata ökologisch ähnlich waren. Der Holotyp von N. taweretus sp. nov. ist ein Schädel, dem wir vorläufig einige Unterkieferfragmente und postkraniale Knochen zuweisen. N. taweretus sp. nov. unterscheidet sich von den anderen Nesodon-Arten in mehreren Merkmalen des Schädels und der Bezahnung. Enge Vergleiche wurden mit dem aus Patagonien stammenden und in der Santa-Cruz-Formation (Santacru

Published
2015

280. 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

281. 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

282. 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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283. Defining the Pose of Any 3D Rigid Object and an Associated Distance.

Author

Brégier, Romain, Devernay, Frédéric, Leyrit, Laetitia, and Crowley, James L.

Subjects
THREE-dimensional imaging, IMAGING systems, JPEG (Image coding standard), IMAGE transmission, IMAGE compression standards
Abstract

The pose of a rigid object is usually regarded as a rigid transformation, described by a translation and a rotation. However, equating the pose space with the space of rigid transformations is in general abusive, as it does not account for objects with proper symmetries—which are common among man-made objects. In this article, we define pose as a distinguishable static state of an object, and equate a pose to a set of rigid transformations. Based solely on geometric considerations, we propose a frame-invariant metric on the space of possible poses, valid for any physical rigid object, and requiring no arbitrary tuning. This distance can be evaluated efficiently using a representation of poses within a Euclidean space of at most 12 dimensions depending on the object’s symmetries. This makes it possible to efficiently perform neighborhood queries such as radius searches or k-nearest neighbor searches within a large set of poses using off-the-shelf methods. Pose averaging considering this metric can similarly be performed easily, using a projection function from the Euclidean space onto the pose space. The practical value of those theoretical developments is illustrated with an application of pose estimation of instances of a 3D rigid object given an input depth map, via a Mean Shift procedure. [ABSTRACT FROM AUTHOR]

Published
2018
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284. Déformations tardi-grenvilliennes dans la ceinture parautochtone (Province de Grenville centrale) : contraintes géochronologiques par couplage de méthodes U-Pb de haute résolution spatiale et de haute précision.

Author

Jannin, Sophie, Gervais, Félix, Moukhsil, Abdelali, Augland, Lars Eiving, and Crowley, James L.

Abstract

Copyright of Canadian Journal of Earth Sciences is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2018
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285. Timing of the Greenhorn transgression and OAE2 in Central Utah using CA-TIMS U-Pb zircon dating.

Author

Renaut, Ray K., Tucker, Ryan T., King, M. Ryan, Crowley, James L., Hyland, Ethan G., and Zanno, Lindsay E.

Abstract

Contextualizing subbasinal influences on accommodation and pace of the rapid landscape evolution during the base-level rise of the Upper Cretaceous (upper Cenomanian–lower Turonian) Greenhorn Cycle within the Western Interior of North America requires refined stratigraphic controls of key sediment successions. Herein, a blended analysis of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), chemical abrasion thermal ionization mass spectrometry (CA-TIMS), and δ13C isotopic data is utilized to identify two regionally significant ash-fall marker beds southeast of the Wasatch Plateau, specifically the TT1 and TT4, which bracket the Cenomanian–Turonian boundary and the Greenhorn Cycle transgression in the Western Interior Seaway (WIS). Based on our analysis of the recovered ash-fall zircons, a meaningful depositional age (DA) for the TT1 is 94.616 Ma ± 0.027 and 94.010 Ma ± 0.017 for the TT4 bentonite of the Tununk Shale. When coupled with the pre-existing biostratigraphic framework, correlation potential greatly increases with the (TT1) Naturita falling within the Sciponoceras gracile Assemblage Zone. Common molluscs associated with this biozone within the southern and central regions of Utah include Inoceramus pictus , Euomphaloceras spp., and Pycnodonte newberryi. The (TT4) Tununk within the upper portion of the Watinoceras coloradoense Assemblage Zone is commonly associated with the following mollusc genus within the areas to the south and north of the study area: Mytiloides and Morrowites. Furthermore, these dates constrain the Cenomanian–Turonian boundary, provide accurate chronostratigraphic markers for intra and interbasinal correlation and serve to strengthen global linkages to Ocean Anoxic Event 2 (OAE2) during the Greenhorn Cycle transgression. • First ash-fall U–Pb zircon age dates for TT1 and TT4a (via CA-TIMS and LA-ICP-MS) south of the Wasatch Plateau, Central Utah. • Provide temporal correlation for Western Interior Sea Level Curves (flooding surface). • Provide novel linkages to the Ocean Anoxic Event 2 (OAE2). • Identification of coeval and non-coeval volcanism and sedimentation. [ABSTRACT FROM AUTHOR]

Published
2023
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286. 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

287. 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

288. 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

289. 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

295. '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

296. 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

297. 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
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298. 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

299. 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

300. 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

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