%0 Journal Article
%T Improved approach for extracting moving targets based on self-adaptive threshold<br>一种改进的自适应阈值前景提取方法*
%A HU Ke-li
%A ZHAO Lu-yang
%A LIN Zhen-hu
%A WANG Ying-guan
%A <br>胡珂立
%A 赵鲁阳
%A 林振华
%A 王营冠
%J 计算机应用研究
%D 2011
%I 
%X In order to solve the problem of target broken during the video processing, this paper proposed an improved approach for extracting moving targets based on self-adaptive threshold. Once obtained the background subtraction image by non-modeling background model, built a novel environment noise distribution map as the environment noise was relatively stable. With the help of this map, filtered the environment noise in the background subtraction image. It obtained the adaptive thre-shold by using the optimal image threshold algorithm through the filtered image, and extracted the moving targets finally. Experiment results show that the proposed approach here can apparently improve the effect of moving targets extraction.
%K self-adaptive threshold
%K environment noise distribution map
%K background subtraction
%K moving targets extracting<br>自适应阈值
%K 环境噪声分布图
%K 背景差
%K 前景提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=039278FEE09854C59D38594EE09D6246&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=1487334233D305D9&eid=A87EEB62E0265102&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16