计算机工程与应用Issue(13)：173-177,181,6.DOI:10.3778/j.issn.1002-8331.1207-0128
漂移系数优化颜色直方图的Mean Shift算法
Mean Shift algorithm with shift coefficient refined color histogram
摘要
Abstract
The conventional Mean Shift video target tracking algorithm based on color histogram is very sensitive to the interference of background noise, lead to the target location error. To address this problem, a weighted background algo-rithm based on shift coefficient is proposed. According to the shift coefficient given by each pixel in the kernel window, the proposed approach can reduce color feature amount making small contribution to mean shift in the color space, enhance the characteristic of the target, update the template promptly by restraining background interference and introduce new target cues. Experimental results show that the proposed method performs better than background weighted histogram algorithm with less iterations, and even more stable with the template update mechanism.关键词
漂移系数/加权直方图/Mean Shift算法Key words
shift coefficient/weighted histogram/Mean Shift algorithm分类
信息技术与安全科学引用本文复制引用
宋康康,陈恳,郭运艳..漂移系数优化颜色直方图的Mean Shift算法[J].计算机工程与应用,2014,(13):173-177,181,6.基金项目
宁波市科技局自然科学基金（No.2010A610109）；宁波大学学校科研基金（理）（No.xkl11075）。 （）
