An active contour tracking method by matching foreground and background simultaneously

This paper presents a novel active contour tracking method, which is used to estimate the non-grid deformation of the motion target and can get the accurate contour of the tracked target. In the proposed method, level set is employed to represent the target region. By using Bhattacharyya similarity as a metric, the proposed method aims at finding a best candidate region in the video frame, whose foreground distribution and background distribution match maximally those of the predefined tracked target. Based on this metric, we derive a level set based object tracking formulation, which estimates iteratively the contour change of the target. Experimental results on the representative video sequences show that the proposed methods perform better than EM-shift and SOAMST algorithm.