Mean shift tracker with Chaotic Artificial Bee Colony and Space Variant Resolution

A novel mean shift algorithm is proposed for object tracking in this paper. The mean shift procedure with Chaotic Artificial Bee Colony (Chaotic ABC) and Space Variant Resolution (SVR) of human visual system is utilized for adaptation of the target acceleration and estimation of the target's scale and orientation changes. In order to test the effectiveness and robustness of our proposed method, two groups of experiments were carried out and the related results of the proposed mean shift tracker with Chaotic ABC and SVR (MS-Chaotic ABC&SVR) are compared with three other algorithms, which demonstrate that our proposed approach is most robust and effective in solving object tracking problems than the others.