Robust tracking and segmentation of human motion in an image sequence
نویسندگان
چکیده
We present a method for improving robustness in featurebased tracking of human motion. Motion flows of features estimated by a standard tracker are modified to be coherent with neighboring ones. This coherence constraint is computed based on a smooth approximation to initial motion flows computed by the tracker. With this tracking results, we demonstrate motion segmentation of different body parts in an image sequence.
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تاریخ انتشار 2003