%0 Journal Article
%T Mean Shift Tracking Algorithm based on Spatial Edge Orientation Histograms<br>基于空间边缘方向直方图的Mean Shift跟踪算法
%A WANG Xin-hong
%A WANG Jing
%A TIAN Min
%A YANG Yu
%A LI Zhi-peng
%A <br>王新红
%A 王晶
%A 田敏
%A 杨煜
%A 李志鹏
%J 中国图象图形学报
%D 2008
%I 
%X Traditional mean shift tracking algorithm based on color histogram or spatial color histogram sometimes fails to get accurate results under intricate conditions,such as scale modifications occur to the objects.That is because the histograms based on color cannot distinguish objects and background have the same color.This paper presents a new mean shift algorithm based on spatial edge orientation histograms,using space distribution and texture information as matching information.Experiments proved the new algorithm can deal with intricate conditions,such as occlusion,different luminance and scale modifications,and track objects accurately,effectively and real time.The new algorithm also overcomes the limitations of the traditional one.
%K spatial edge orientation histograms
%K Mean Shift
%K object tracking<br>空间边缘方向直方图
%K Mean
%K Shift
%K 目标跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9F1C0945191744C2FA51DFF509070E47&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=CD26609C367AC9C8&eid=106103EB0EA31435&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=7