In this paper a novel approach for object tracking using multiple cues is presented

based on the investigation of human eye tracking. In this approach

multiple cues with serial structure are used in tracking. First

some candidate objects are found through near neighbor principle. Then multiple cues with different priorities select the candidates in order. At last

the only survive candidate is fined by the modified module to get more accurate tracking result. The most salient characteristic of this approach is the principles of self organization and self adaptation of the changing environment during tracking. Multiple cues compete and cooperate in the system

which make the tracking has strong adaptation and vitality. Experiments show the robustness and accuracy of the tracking algorithm.