Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Avatar motion control by user body postures
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Marker-free kinematic skeleton estimation from sequences of volume data
Proceedings of the ACM symposium on Virtual reality software and technology
Motion-capture-based avatar control framework in third-person view virtual environments
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
Human arm-motion classification using qualitative normalised templates
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
| Hi-index | 0.00 |
The paper presents real-time human motion analysis based on real-time inverse kinematics. Our purpose is to realize a mechanism of human-machine interaction via human gestures, and, as a first step, we have developed a computer-vision-based human motion analysis system. In general, man-machine "smart" interaction requires a real-time human full-body motion capturing system without special devices or markers. However, since such a vision-based human motion capturing system is essentially unstable and can only acquire partial information because of self-occlusion, we have to introduce a robust pose estimation strategy, or an appropriate human motion synthesis based on motion filtering. To solve this problem, we have developed a method based on inverse kinematics, which can estimate human postures with limited perceptual cues such as positions of a head, hands and feet. We outline a real-time and on-line human motion capture system and demonstrate a simple interaction system based on the motion capture system.