ARSTKACTThis paper presents a rohust shape-hascd on-line tracker for siinultanco~isly tracking the inotion of horh hands. that is robust to cases of background clutter. other inoving objects, occlusions of one hsid hy the other. and a wide range of illumination vxiatioiis. The tracker is hased on ail on-line predictive EigenTracking framework. Ibis framework allows efficient tracking of aniculate objects. which change in appearance across views. We show results o l successful tracking across all possible cases of motion dynamics of both haids during occlusion. and a widc range of illumination conditions.
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