Tracking a human being via the gray local dissimilarity map

Tracking human being from real scenes has attracted great interest in the computer vision community. We aim in this paper to provide a visual tracking system that is based on a dissimilarity measure. The proposed method includes the gray Local Dissimilarity Map and the Kalman Filter. Experimental results on several image sequences illustrate that the proposed method performs well in several challenging aspects of real world scenes.