%0 Journal Article
%T Fast moving object detecting method based on video streaming continuity<br>基于视频流连续性的快速运动目标检测方法*
%A ZHANG Juan
%A MAO Xiao-bo
%A CHEN Tie-jun
%A WU Min
%A <br>张娟
%A 毛晓波
%A 陈铁军
%A 吴敏
%J 计算机应用研究
%D 2010
%I 
%X This paper proposed a fast moving object detecting algorithm based on the quality of video streaming continuity. In the aspect of background reconstruction, introduced a fast background reconstruction method. It was based on pixel intensity classification method and the assumption of background pixels could be observed in at least 50% time in the training phases. In the aspect of shadow removing, presented RGB chromaticity difference algorithm based on RGB chromaticity ratio. It could remove the shadow of moving object quickly and effectively. The experimental results confirm the validity of the proposed method.
%K background subtraction
%K background reconstruction
%K pixel intensity classification
%K shadow removing
%K video streaming<br>背景差分
%K 背景重构
%K 像素归类
%K 阴影去除
%K 视频流
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=82A11B3044554D85C36A6F0C9B81AC2F&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=5D311CA918CA9A03&sid=083598D863A6B4CC&eid=875421CB231C88B8&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=6