%0 Journal Article
%T Improvement Algorithm of Mean Shift Based on Fuzzy Subordination Relations<br>基于模糊隶属关系的Mean Shift图像跟踪改进算法
%A Shen Yue Wu Xiao-jun
%A <br>沈悦
%A 吴小俊
%J 电子与信息学报
%D 2008
%I 
%X In view of the fact that the center position of new target template obtained by the computation of the core step of Mean Shift algorithm is nearly all non-integer, in this paper, a concept of fuzzy membership is proposed, the steps in image tracking using Mean Shift algorithm are improved. The results of experiments show that computational load and error are less than that of the original algorithm.
%K MeanShift<br>图像跟踪
%K 模糊隶属度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=362B1E16A721A7EB65F034AE6253AC18&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=708DD6B15D2464E8&sid=7F6F05AFEF4F7309&eid=7A9DACD7720714C4&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8