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《Acta Automatica Sinica》 2009-05
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Study on Target Model Update Method in Mean Shift Algorithm

SHEN Zhi-Xi1 YANG Xin1 HUANG Xi-Yue11.Navigation and Guidance Laboratory,College of Automation,Chongqing University,Chongqing 400030  
Mean shift is a robust and real-time pattern matching algorithm.At present,the total model update strategy of the mean shift algorithm still has shortage under changed scenes,e.g.,target appearance changes,non-target occlusion.Therefore,the paper presents a selective sub-model update strategy for the mean shift algorithm.The proposed method treats each sub-model of target model as singleton,selects and updates sub-model and its weight based on match contributing degree of each sub-model in the current frame.The experiment result shows the proposed method is more robust and effective than the total model update strategy.
【Fund】: 国家自然科学基金(69674012);; 重庆市自然科学基金(2006BA6016)资助~~
【CateGory Index】: TP391.41
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