Object Tracking Through Multiple Cues
基于多线索的目标跟踪

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.