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An improved mean shift tracking algorithm based on double weighted color histogram

一种改进的基于双权值颜色直方图的均值漂移跟踪算法(英文)
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摘要 In practical application,mean shift tracking algorithm is easy to generate tracking drift when the target and the background have similar color distribution.Based on the mean shift algorithm,a kind of background weaken weight is proposed in the paper firstly.Combining with the object center weight based on the kernel function,the problem of interference of the similar color background can be solved.And then,a model updating strategy is presented to improve the tracking robustness on the influence of occlusion,illumination,deformation and so on.With the test on the sequence of Tiger,the proposed approach provides better performance than the original mean shift tracking algorithm.
出处 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2016年第2期171-175,共5页 测试科学与仪器(英文版)
基金 National Natural Science Foundation of China(No.61201412)
关键词 object tracking mean shift color histogram model updating 目标跟踪 均值漂移 颜色直方图 模板更新
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