Issue No. 12 - December (2000 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.895978
<p><b>Abstract</b>—This paper presents the formulations and techniques that we have developed for the three-dimensional, 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.</p>
Motion estimation, human motion estimation, deformable models, model-based tracking, physics-based modeling.
D. Metaxas and I. Kakadiaris, "Model-Based Estimation of 3D Human Motion," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 22, no. , pp. 1453-1459, 2000.