Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Just one view: invariances in inferotemporal cell tuning
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Integrating Vision and Language: Towards Automatic Description of Human Movements
KI '95 Proceedings of the 19th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Incremental Tracking of Human Actions from Multiple Views
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Real-timeHumanMotion Sensingbased on Vision-based Inverse Kinematics for Interactive Applications
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Recognizing and interpreting gestures on a mobile robot
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Real-time pointing gesture recognition for an immersive environment
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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We aim to develop a vision system that focuses on the human arm and recognizes the arm posture in complex scenes. In this paper, we introduce a computer-vision-based approach and a neocognitron-type neural network. In our computer-vision-based approach, we propose a method for arm posture estimation using an arm model with three kinds of small areas in the complex background and clothes patterns. In our neocognitron-based approach, we investigate the functional similarity between the neocognitron and the ventral visual pathway. We examine to the expand neocognitron base on stereo.