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基于边界力的Mean-Shift核窗宽自适应算法 认领 被引量:11

Algorithm of Adaptive Kernel-Bandwidth for Mean-Shift Based on Boundary Force
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摘要 针对Mean-Shift(中值漂移)算法中核函数带宽不能实时改变的缺陷,提出一种基于边界力的Mean-Shift核函数带宽自适应更新算法.在分析目标加权核直方图模型的基础上,引入区域似然度以提取目标的局部信息.然后,比较...展开更多 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...MORE 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.FEWER
出处 《软件学报》 EI 北大核心 2009年第7期1726-1734,共9页 Journal of Software
基金 国家自然科学基金No.30570473 重庆市信息产业发展基金No.20051022~~
关键词 中值漂移 目标跟踪 边界力 自适应带宽 Mean-Shift object tracking boundary force adaptive bandwidth
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