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Study on Auxiliary Rehabilitation System of Hand Function Based on Machine Learning with Visual Sensors. [PDF]
Sensors (Basel)Zhang Y, Bao G.
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Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition, 2002
This paper describes a system which uses multiple visual processes to detect and track hands for gesture recognition and human-computer interaction. This system is based on an architecture in which a supervisor selects and activates visual processes.
J. Martin, V. Devin, J.L. Crowley
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This paper describes a system which uses multiple visual processes to detect and track hands for gesture recognition and human-computer interaction. This system is based on an architecture in which a supervisor selects and activates visual processes.
J. Martin, V. Devin, J.L. Crowley
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Synthetic Hands Generator for RGB Hand Tracking
TENCON 2018 - 2018 IEEE Region 10 Conference, 2018In this study, we addressed the challenging problem of 2D hand-pose tracking based on an RGB-only sequence by using a hand data generator. For training various deep networks on hand-pose tracking, we propose a synthetic hand generator based on an application. Our generator could be combined with a kinematic hand model to generalize well to unseen data.
Dongseok Yang +3 more
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IEEE Transactions on Circuits and Systems for Video Technology, 2012
This paper presents an improved hand tracking system using pixel-based hierarchical-feature AdaBoosting (PBHFA), skin color segmentation, and codebook (CB) background cancellation. The proposed PBH feature significantly reduces the training time by a factor of at least 1440 compared to the traditional Haar-like feature.
Jing-Ming Guo +3 more
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This paper presents an improved hand tracking system using pixel-based hierarchical-feature AdaBoosting (PBHFA), skin color segmentation, and codebook (CB) background cancellation. The proposed PBH feature significantly reduces the training time by a factor of at least 1440 compared to the traditional Haar-like feature.
Jing-Ming Guo +3 more
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2011 18th IEEE International Conference on Image Processing, 2011
This study presents a hybrid hand tracking system using Pixel-Based Hierarchical-Feature AdaBoosting (PBHFA), skin color segmentation, and codebook background cancellation. The object of this approach is to construct a system which is able to cope with hand detection and further tracking tasks.
Jing-Ming Guo, Hoang-Son Nguyen
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This study presents a hybrid hand tracking system using Pixel-Based Hierarchical-Feature AdaBoosting (PBHFA), skin color segmentation, and codebook background cancellation. The object of this approach is to construct a system which is able to cope with hand detection and further tracking tasks.
Jing-Ming Guo, Hoang-Son Nguyen
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2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, 2009
In this paper we present an approach for animating a virtual hand model with the animation data extracting from hand tracking results. We track the hand by using particle filters and deformable contour templates with a web camera; then we extend the 2D tracking results into 3D animation data using inverse kinematics method; finally, local frame based ...
Jituo Li +3 more
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In this paper we present an approach for animating a virtual hand model with the animation data extracting from hand tracking results. We track the hand by using particle filters and deformable contour templates with a web camera; then we extend the 2D tracking results into 3D animation data using inverse kinematics method; finally, local frame based ...
Jituo Li +3 more
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Visual Hand Tracking Algorithms
Geometric Modeling and Imaging--New Trends (GMAI'06), 2006Tracking is an important section in a gesture recognition system. Numerous techniques for segmentation, tracking, modeling and recognition have been proposed during several past years. A few papers comparing different approaches have been published [31,32]. However, a comprehensive survey on tracking is still missing.
F. Mahmoudi, M. Parviz
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