Model-Based Estimation of 3D Human Motion
This paper presents the formulations and techniques that we have developed for the 3D model-based, motion estimation of human movement from multiple cameras. Our method is based on the spatio-temporal analysis of the subject's silhouette and it has the advantage that the subject does not have to wear markers or other devices. We present tracking results from experiments involving the recovery of complex motions in the presence of significant occlusion.