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软件学报  2009 

Algorithm of Adaptive Kernel-Bandwidth for Mean-Shift Based on Boundary Force
基于边界力的Mean-Shift核窗宽自适应算法

Keywords: Mean-Shift,object tracking,boundary force,adaptive bandwidth
中值漂移
,目标跟踪,边界力,自适应带宽

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Abstract:

An adaptive scale updating algorithm based on boundary force is presented to improve the deficiency that the kernel-bandwidth of Mean-Shift is not changeable. Based on the analysis of weighted histogram of the target feature, this paper introduces a region likelihood to extract local information of the target. Then, by comparing the region likelihood in successive frames, it constructs a boundary force to locate the boundary points of the target model and updates the bandwidth of kernel-function adaptively. The experimental results show that the proposed method improves the effect of Mean-Shift when the size or shape of target changes and satisfies the real-time request.

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