%0 Journal Article
%T Adaptive on-line clustering moving objectsextracting method based on DWT<br>基于DWT的自适应在线聚类运动目标提取方法
%A REN Ying-jun
%A FAN Jiu-lun
%A <br>任应军
%A 范九伦
%J 计算机应用研究
%D 2012
%I 
%X Based on the hypothesis that the background pixel intensity appears in image sequence with maximum probability, this paper proposed a novel method of moving objects extracting by utilizing the merits of multi-resolution of DWT. The method extracted the approximate components of video images sequence firstly using the DWT, and then reconstruced the background according to the pixels clustering combing adaptively dynamic threshold with similar classes merged, verified the accuracy of background reconstruction by quoting the evaluation criteria of image matches. Experimental results indicate that the proposed method can extract the motion objects correctly and fast, even in the cases of environments change, moving targets roundabout, multi-targets moving.
%K DWT（discrete wavelet transform）
%K pixels clustering
%K background reconstruction
%K moving targets extracting<br>离散小波变换
%K 像素聚类
%K 背景重构
%K 运动目标提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=22653CDAF59BBDC153048F3E77A1937E&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=610986EC9B5B9FB1&eid=C9BA1E5BD83742D9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15