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27 results on '"Liu, Honghai"'

1. ASD Children Adaption Behaviour Assessment via Hand Movement Properties: A RoadMap

Author

Zhang, Dinghuang, Toptan, Carrie M., Zhao, Shuwen, Zhang, Gongyue, Liu, Honghai, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jansen, Thomas, editor, Jensen, Richard, editor, Mac Parthaláin, Neil, editor, and Lin, Chih-Min, editor

Published
2022
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2. Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer.

Author

Hong, Weixiang, Ren, Wang, Lao, Jiangwei, Xie, Lele, Zhong, Liheng, Wang, Jian, Chen, Jingdong, Liu, Honghai, and Chu, Wei

Subjects
TRANSFORMER models, OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, COMPUTER vision, DETECTORS, TASK performance
Abstract

Modeling in computer vision has long been dominated by convolutional neural networks (CNNs). Recently, in light of the excellent performance of self-attention mechanism in the language field, transformers tailored for visual data have drawn significant attention and triumphed over CNNs in various vision tasks. These vision transformers heavily rely on large-scale pre-training to achieve competitive accuracy, which not only hinders the freedom of architectural design in downstream tasks like object detection, but also causes learning bias and domain mismatch in the fine-tuning stages. To this end, we aim to get rid of the "pre-train and fine-tune" paradigm of vision transformer and train transformer based object detector from scratch. Some earlier works in the CNNs era have successfully trained CNNs based detectors without pre-training, unfortunately, their findings do not generalize well when the backbone is switched from CNNs to a vision transformer. Instead of proposing a specific vision transformer based detector, in this work, our goal is to reveal the insights of training vision transformer based detectors from scratch. In particular, we expect those insights to help other researchers and practitioners, and inspire more interesting research in other fields, such as remote sensing, visual-linguistic pre-training, etc. One of the key findings is that both architectural changes and more epochs play critical roles in training vision transformer based detectors from scratch. Experiments on the MS COCO dataset demonstrate that vision transformer based detectors trained from scratch can also achieve similar performance to their counterparts with ImageNet pre-training. [ABSTRACT FROM AUTHOR]

Published
2024
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3. View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Models

Author

Ji, Xiaofei, Liu, Honghai, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Xie, Ming, editor, Xiong, Youlun, editor, Xiong, Caihua, editor, Liu, Honghai, editor, and Hu, Zhencheng, editor

Published
2009
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4. Research on the Method of Detecting the Spreading Rate of the Simultaneous Crushed Stone Sealing Layer Based on Machine Vision.

Author

Rong, Xin, Liu, Honghai, Gao, Xinmin, and Bian, Qinghua

Subjects
CRUSHED stone, COMPUTER vision, STONE, SIGNAL-to-noise ratio, RESEARCH methodology, GRAVEL
Abstract

Synchronous chip seal is an advanced road constructing technology, and the gravel coverage rate is an important indicator of the construction quality. The traditional method to measure the gravel coverage rate usually depends on observation by human eyes, which is rough and inefficient. In this paper, a detection method of gravel coverage based on improved wavelet algorithm is proposed. By decomposing the image with two-dimensional discrete wavelet, the high-frequency and low-frequency coefficients are extracted. The noise of the high-frequency coefficients in the image is removed by improving the threshold function, and the contrast of the gravel target in the low-frequency coefficients is improved by the multiscale Retinex algorithm, and then two-dimensional wavelet reconstruction is carried out. Finally, the gravel target is segmented by the block threshold method, and the pixel ratio of the gravel is calculated to complete the detection of the gravel coverage. The experimental results show that the proposed method can effectively segment the gravel target and reduce the influence of environmental factors on the detection accuracy. The detection accuracy error is within ±2%, which can meet the detection requirements. The improved wavelet algorithm improves the signal-to-noise ratio of the denoised image, reduces the mean square error, and achieves a relatively good denoising effect. [ABSTRACT FROM AUTHOR]

Published
2022
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5. Early Screening of Autism in Toddlers via Response-To-Instructions Protocol.

Author

Liu, Jingjing, Wang, Zhiyong, Xu, Kai, Ji, Bin, Zhang, Gongyue, Wang, Yi, Deng, Jingxin, Xu, Qiong, Xu, Xiu, and Liu, Honghai

Abstract

Early screening of autism spectrum disorder (ASD) is crucial since early intervention evidently confirms significant improvement of functional social behavior in toddlers. This article attempts to bootstrap the response-to-instructions (RTIs) protocol with vision-based solutions in order to assist professional clinicians with an automatic autism diagnosis. The correlation between detected objects and toddler’s emotional features, such as gaze, is constructed to analyze their autistic symptoms. Twenty toddlers between 16–32 months of age, 15 of whom diagnosed with ASD, participated in this study. The RTI method is validated against human codings, and group differences between ASD and typically developing (TD) toddlers are analyzed. The results suggest that the agreement between clinical diagnosis and the RTI method achieves 95% for all 20 subjects, which indicates vision-based solutions are highly feasible for automatic autistic diagnosis. [ABSTRACT FROM AUTHOR]

Published
2022
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6. Development of sEMG Sensing Techniques for Hand Prostheses

Author

Guozhang Jiang, Ding Weiliang, Chen Disi, Jianyi Kong, Li Zhe, Ying Sun, Xu Wanfen, Liu Honghai, Miao Wei, and Gongfa Li

Subjects
Proximity sensing, Numerical Analysis, Computational Theory and Mathematics, Computer science, business.industry, Applied Mathematics, Computer vision, Artificial intelligence, business, Analysis, Computer Science Applications
Published
2017

7. Mirror Surface Assessment in Solar Power Applications by 2-D Coded Light.

Author

Li, Song, Xu, Jinshan, Lou, Jiarui, Yang, Xi, Liu, Honghai, and Chen, Shengyong

Subjects
SOLAR energy, SOLAR surface, MIRRORS, OPTICAL properties, DIGITAL cameras, COMPUTER simulation
Abstract

Concentrative mirrors are typically used to provide the reliable thermal source in solar thermal power applications. Their geometrical optical characteristics are of essential importance to the sun-to-electricity conversion efficiency. However, there is a lack of cost-effective approach for measuring these characteristics in field applications. In this article, we propose a color-coded grid pattern-based method to extract optical properties of paraboloidal mirrors. Comparing with the existing techniques, our assessment system only consists of a digital camera, a color-coded grid plane, and a flat mirror with chess-board pattern, and no additional equipments are required. In our system, the image of the grid pattern is captured by the camera through the reflection of the test mirror. Benefiting from the representation of grid positions with colors, the image points can be easily paired with their source points on the grid plane. Applying ray-tracing and reflection principle, the normal vectors of the reflecting points on the test mirror surface can be determined. These normals facilitate to construct the surface model in the form of a second-order polynomial. The gradient descent algorithm is used to minimize the discrepancy between the measured normals and those calculated from a guess model, by which we improve the accuracy of the model parameters and, finally, obtain the optical properties of the test mirror. The accuracy and efficiency of the proposed method are verified by a set of numerical simulations with respect to mirrors with known parameters. Also, for a real concentrative mirror, the proposed method helps to retrieve quantities of interest and show little dependence on mirror position. [ABSTRACT FROM AUTHOR]

Published
2020
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8. Intelligent Robotics and Applications : 5th International Conference, ICIRA 2012, Montreal, Canada, October 3-5, 2012, Proceedings, Part II

Author

Chun-Yi Su, Subhash Rakheja, Liu Honghai, Chun-Yi Su, Subhash Rakheja, and Liu Honghai

Subjects
Artificial intelligence, Pattern recognition systems, Computer vision, Computers and civilization, Application software, Computers, Special purpose
Abstract

The three volume set LNAI 7506, LNAI 7507 and LNAI 7508 constitutes the refereed proceedings of the 5th International Conference on Intelligent Robotics and Applications, ICIRA 2012, held in Montreal, Canada, in October 2012. The 197 revised full papers presented were thoroughly reviewed and selected from 271 submissions. They present the state-of-the-art developments in robotics, automation and mechatronics. This volume covers the topics of robotics for rehabilitation and assistance; mechatronics and integration technology in electronics and information devices fabrication; man-machine interactions; manufacturing; micro and nano systems; mobile robots and intelligent autonomous systems; motion control; multi-agent systems and distributed control; and multi-sensor data fusion algorithms.

Published
2012

9. Flow field texture representation-based motion segmentation for crowd counting.

Author

Zhang, Xuguang, He, Haiming, Cao, Shukai, and Liu, Honghai

Subjects
IMAGE segmentation, TEXTURE analysis (Image processing), PIXELS, COMPUTER vision, INTEGRALS
Abstract

It is evident that crowd counting is one of bottlenecks for crowd-related computer vision theory and applications such as surveillance. Since accuracy of estimating crowd size dominantly depends on the performance of motion detection of pedestrians, this paper attacks the challenging problem mainly by proposing a motion segmentation method based on flow field texture representation. Firstly, the motion crowd and background are represented as different texture images by employing line integral convolution. Then information entropy is introduced to quantify the textures as different values so that the texture images can be segmented; further an optimal threshold is obtained via Otsu method to segment the binarization entropy image. Finally, the area of motion foreground pixels is calculated for each image in a crowd motion video. The size of the crowd is estimated by least squares fitting using abundant datum of foreground pixels' area and the number of individuals in a crowd. Experimental results demonstrate that the proposed crowd counting method outperforms background subtraction, Gaussian mixture model and optical flow-based methods in terms of mean absolute error and mean relative error. [ABSTRACT FROM AUTHOR]

Published
2015
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10. Moving Detection Research of Background Frame Difference Based on Gaussian Model.

Author

Liu, Honghai and Hou, Xianghua

Abstract

At present, there are three algorithms of moving target detection: frame difference, background subtraction and optical flow field. Firstly, those three typical algorithms are analyzed in this paper. In the light of the characteristics of detecting the big moving targets, the frame difference method is improved. Moreover, an adaptive threshold statistics method is put forward to determine the background, which aim is to keep the integrity of the moving target. Background subtraction can accurately determine the moving target. However, the whole image should be computed and its complexity is poor. In this paper, a rapid and precise algorithm of determining the big target is put forward. Firstly, we adopt the improved frame difference method to make sure the full range of moving target. Secondly, the scope which is determined by the frame difference method is considered as the activity' background. Then detection based on background subtraction is done in a small scope and it can precisely locate the moving target. Then the condition judgment for the automatic update of background is made and the points of background region are calculated by Gaussian model. The condition threshold is set to acquire the fixed background and the moving background, and the fixed background is adaptively updated. Finally, the algorithm is analyzed in detail and the influence of the moving target' background to the moving target' precise position is pointed out. [ABSTRACT FROM PUBLISHER]

Published
2012
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11. Intelligent Video Systems and Analytics: A Survey.

Author

Liu, Honghai, Chen, Shengyong, and Kubota, Naoyuki

Abstract

Recent technology and market trends have demanded the significant need for feasible solutions to video/camera systems and analytics. This paper provides a comprehensive account on theory and application of intelligent video systems and analytics. It highlights the video system architectures, tasks, and related analytic methods. It clearly demonstrates that the importance of the role that intelligent video systems and analytics play can be found in a variety of domains such as transportation and surveillance. Research directions are outlined with a focus on what is essential to achieve the goals of intelligent video systems and analytics. [ABSTRACT FROM PUBLISHER]

Published
2013
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12. CPC: Cable Parameters Calculation Based on 3D Point Cloud

Author

Fan, Zhimin, Guo, Liefeng, Chen, Yubao, Xiao, Feng, Zhang, Jianhua, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Honghai, editor, Yin, Zhouping, editor, Liu, Lianqing, editor, Jiang, Li, editor, Gu, Guoying, editor, Wu, Xinyu, editor, and Ren, Weihong, editor

Published
2022
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13. Vision-Based Fall Detection and Alarm System for Older Adults in the Family Environment

Author

Liu, Fei, Zhou, Fengxu, Zhang, Fei, Cao, Wujing, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Honghai, editor, Yin, Zhouping, editor, Liu, Lianqing, editor, Jiang, Li, editor, Gu, Guoying, editor, Wu, Xinyu, editor, and Ren, Weihong, editor

Published
2022
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15. A Robot Teaching Method Based on Motion Tracking with Particle Filter

Author

Huang, Yanjiang, Xie, Jie, Zhou, Haopeng, Zheng, Yanglong, Zhang, Xianmin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Huang, YongAn, editor, Wu, Hao, editor, Liu, Honghai, editor, and Yin, Zhouping, editor

Published
2017
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16. A Review of Gesture Recognition Based on Computer Vision

Author

Li, Bei, Li, Gongfa, Sun, Ying, Jiang, Guozhang, Kong, Jianyi, Ju, Zhaojie, Jiang, Du, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Huang, YongAn, editor, Wu, Hao, editor, Liu, Honghai, editor, and Yin, Zhouping, editor

Published
2017
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20. Accuracy of Determining the Coordinates of Points Observed by Camera

Author

Szkodny, Tadeusz, Meller, Artur, Palka, Krzysztof, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Zhang, Xianmin, editor, Liu, Honghai, editor, Chen, Zhong, editor, and Wang, Nianfeng, editor

Published
2014
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21. The Algorithm Camera Computing the Object Location

Author

Szkodny, Tadeusz, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Lee, Jangmyung, editor, Lee, Min Cheol, editor, Liu, Honghai, editor, and Ryu, Jee-Hwan, editor

Published
2013
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22. Behavior Based Approach for Robot Navigation and Chemical Anomaly Tracking

Author

Bhattacharya, Sambit, Czejdo, Bogdan, Han, Shubo, Siddique, Mohammad, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Jeschke, Sabina, editor, Liu, Honghai, editor, and Schilberg, Daniel, editor

Published
2011
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23. Visual Control of a Remote Vehicle

Author

Sanchez-Benitez, David, de la Cruz, Jesus M., Pajares, Gonzalo, Gu, Dawei, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Jeschke, Sabina, editor, Liu, Honghai, editor, and Schilberg, Daniel, editor

Published
2011
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24. Automatic Soldering System Based on Computer Vision

Author

Xiong, Zhenhua, Zhou, Xinjue, Wang, Yulin, Ding, Han, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Xie, Ming, editor, Xiong, Youlun, editor, Xiong, Caihua, editor, Liu, Honghai, editor, and Hu, Zhencheng, editor

Published
2009
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26. Interactive Features for Robot Viewers

Author

Thomas Hulin, Katharina Hertkorn, Carsten Preusche, Su, Chun-Yi, Rakheja, Subhash, and Liu, Honghai

Subjects
Engineering, Social robot, business.industry, Visibility (geometry), Mobile robot, Robot control, Visualization, Institut für Robotik und Mechatronik (bis 2012), Robotic systems, robot viewer, visualization features, Torque, Robot, Computer vision, Artificial intelligence, torque controlled robots, business
Abstract

Robot viewers are an important tool for robot developers, programmers and users. This article presents interactive visual features that can be used for robot viewers, including rotating arrows for torque controlled serial robots and special positioned textfields for numerically displaying joint parameters. The presented features support intuitive interaction modes such that the displayed content can be switched or their visibility can be toggled. With these features the DLR SeRo-Viewer has been developed, which aims at minimizing the efforts for integrating new robots in the visualization system, and at the same time being flexible enough to visualize various robotic systems. The SeRo-Viewer has already been successfully applied on several robotic systems.

Published
2012

27. Robust and Accurate Genetic Scan Matching Algorithm for Robotic Navigation

Author

Kristijan Lenac, Massimiliano Nolich, Enzo Mumolo, Jeschke, Sabina, Liu, Honghai, Schilberg, Daniel, Lenac, K., Mumolo, Enzo, and Nolich, M.

Subjects
robotic, robotics, scan matching, genetic optimization, ICP, Robotic navigation, Matching (graph theory), business.industry, Computer science, Scan matching, localization, Robotics, Data acquisition, Lookup table, Genetic algorithm, Computer vision, Artificial intelligence, business, Blossom algorithm
Abstract

In this paper we propose a scan matching algorithm for robotic navigation based on the combination of ICP and genetic optimization. Since the genetic algorithm is robust but not very accurate, and ICP is accurate but not very robust, it is natural to use the two algorithms in a cascade fashion: first we run a genetic optimization to find an approximate but robust matching solution and then we run ICP to increase accuracy. The proposed genetic algorithm is very fast due to a lookup table formulation and very robust against large errors in both distance and angle during scan data acquisition. It is worth mentioning that large scan errors arise very commonly in mobile robotics due, for instance, to wheel slippage. We show experimentally that the proposed algorithm successfully copes with large localization errors.

Published
2011

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