Robust visual tracking with the cross-bin metric

In this paper, we propose an adaptive particle filter method based on the cross-bin matching, which makes use of the fast and robust earth mover's distance with a thresholded ground distance (EMD) as the similarity measure, for robust visual tracking. In contrast to the traditional bin-by-bin metrics, the cross-bin metric used in the EMD is capable of efficiently capturing the intrinsic affinity relationships between bins, resulting in more accurate and effective tracking results. Experimental results demonstrate the effectiveness and robustness of the proposed tracking method in coping with the challenging situations, such as background clutters, occlusions, abrupt motions and jumps.