Robust estimation of human body kinematics from video
Aleš Ude · 2003
Addresses the problem of estimating human body motion from video. Its main contribution is the introduction of a robust optimization framework that leads to reliable and accurate body tracking and posture recovery. The proposed approach is resistant to occlusions and demonstrates that it is possible to treat different problems arising in human motion analysis in a unified way without using many decision thresholds. The implemented system requires only a standard CCD camera and no special markers on the body. We present experimental results showing the reliability of the implemented tracker.