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Robust tracking and segmentation of human motion in an image sequence

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4 Author(s)
Gonzalez, J.J. ; CVlab, Lausanne, Switzerland ; Ik Soo Lim ; Fua, P. ; Thalmann, D.

We present a method for improving robustness in feature-based 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 these tracking results, we demonstrate motion segmentation of different body parts in an image sequence.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:3 )

Date of Conference:

6-10 April 2003