Dual-kernel Tracking Approach Based on Second-order Spatiogram
Zhang Can-long①② Tang Yan-ping② Li Zhi-xin①② Ma Hai-fei①② Cai Bing①②
①(School of Computer Science & Information Technology, Guangxi Normal University, Guilin 541004, China) ②(Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin 541004, China)
In order to avoid the loss of background and spatial information in mean shift tracker, a dual-kernel tracking approach based on the second-order spatiogram is proposed. In the method, the second-order spatiogram is employed to represent a target, the similarity and contrast are considered simultaneously when evaluating the target candidate, and they are adaptively integrated into a novel objective function. By performing multi-variable Taylor series expansion and maximization on the objective function, a dual-kernel target location-shift formula is induced. Finally, the optimal target location is gained recursively by applying the mean shift procedure. Experimental evaluations on several image sequences demonstrate the effectiveness of the proposed algorithm.
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