%0 Journal Article
%T Research on Shadow Detection in Grayscale Video Sequence for Traffic Images<br>交通视频序列阴影检测算法研究
%A WAN Jun-fu
%A LIU Jian-wei
%A XIANG Huai-kun
%A CAO Quan
%A WANG Jun-shen
%A <br>万峻甫
%A 刘建伟
%A 向怀坤
%A 曹泉
%A 王钧生
%J 中国图象图形学报
%D 2008
%I 
%X Analyzing the characteristics of the shadows in traffic video sequence,we propose a small improvement to an existing background modal based on several current shadow detection algorithms,and incorporate a novel technique for shadow detection in grayscale video sequence.We gain the background establishes a robustness and auto-adapted background modal.First we filtrate the shadow fuzzily,and then re-establish the images of car to remove the shadow exactly.This algorithm works well for traffic video sequence,and has a widespread application prospect.
%K shadow detection
%K image process
%K intelligent transportation system<br>阴影检测
%K 视频图像处理
%K 智能交通系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=B2156D9CF1FF4B9CB84EF6E827183D12&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=7D1E6EEC2019967D&eid=DA4893B5F9885621&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=7