%0 Journal Article %T A Robust Mean Shift Tracking Method Under Varying Illumination
一种对光照变化鲁棒的均值漂移跟踪方法 %A Wang Yong-zhong %A Pan Quan %A Zhao Chun-hui %A Cheng Yong-mei %A
王永忠 %A 潘泉 %A 赵春晖 %A 程咏梅 %J 电子与信息学报 %D 2007 %I %X Color can provide an efficient visual cue for tracking based on appearance models.However,the apparent color of an object depends upon the illumination conditions,the viewing geometry and the camera parameters,all of which can vary during tracking and therefore make the tracking based on apparent color models unreliable or even failed.In this paper a mean shift tracking algorithm is proposed based on dynamic corrected fuzzy color histogram,which employs local background information around the target to correct the apparent models and overcomes the sensitive of conventional color histogram to illumination change and noise.The algorithm is tested on several image sequences and the results show that it can smooth the similarity surface and achieve robust and reliable frame-rate tracking under varying illumination conditions. %K Tracking %K Varying illumination %K Dynamic corrected fuzzy color histogram %K Mean shift
跟踪 %K 光照变化 %K 动态修正模糊颜色直方图 %K 均值漂移 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3A3B6EBA50BEC1A22B03713F43A18B7D&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=CE509777249FF025&eid=8B30EADB51481F94&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10