A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Toward Human Arm Attention and Recognition
Neural Information Processing
A Single Camera Motion Capture System for Human-Computer Interaction
IEICE - Transactions on Information and Systems
Vision-Based Motion Capture of Interacting Multiple People
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Virtual fashion show using real-time markerless motion capture
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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Vision-based human motion sensing has a strong merit that it does not impose any physical restrictions on humans, which provides a natural way of measuring human motion. However, its real-time processing is not easy to realize, because a human body has a high degrees of freedom, whose vision-based analysis is not simple and is usually time consuming. Here, we have developed a method in which human postures are analyzed from a limited number of visual cues. It is a combination of numerical analysis of inverse kinematics and visual search. Our method is based on a general framework of inverse kinematics, and, therefore, we can use relatively complex human figure model, which can generates natural human motion. In our experimental studies, we show that our implemented system works in real-time on a PC-cluster.