%0 Journal Article
%T Adaptive background updating and shadow detection in traffic scenes<br>交通场景中车辆的运动检测与阴影消除
%A Wang Bin
%A Feng Yuanjing
%A Guo Haifeng
%A Zhang Guijun
%A <br>王彬
%A 冯远静
%A 郭海峰
%A 张贵军
%J 中国图象图形学报
%D 2012
%I 
%X In this paper, we present a real-time background modeling framework for moving vehicle segmentation in traffic surveillance scenes. First, we propose a new adaptive background modeling method called Balloon Model established in the color space, which fixes the error of non-moving objects in the parameter models; second, an effective shadow detection approach is developed to detect shadows in traffic scenes, which adopts feature fusion method to achieve the segmentation of vehicles. Compared to the other methods, this technique achieves a higher accuracy and is faster.
%K balloon model
%K adaptive background modeling
%K moving object detection
%K shadow detection<br>浮动气球模型
%K 背景建模
%K 运动检测
%K 阴影检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=37D4B66310E46B8383C246635D1F62D1&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=708DD6B15D2464E8&sid=A5545D8D349C0F70&eid=969830E7B1842E81&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=26