%0 Journal Article
%T A New Automatic Multiple Vehicle Detection Algorithm Based on Random Walk<br>一种新的随机游走多车辆检测算法
%A GUO Li
%A GAO Liqun
%A LIU Meng
%A PIAN Zhaoyu
%A LIU Meng
%A PIAN Zhaoyu
%A <br>郭 丽
%A 高立群
%A 刘 濛
%A 片兆宇
%J 中国图象图形学报
%D 2010
%I 
%X In the light of the detection of multiple vehicles in the traffic video sequence the paper presents an edge detection based random walk algorithm for accurately detecting and segmenting the multiple vehicles in the video. First, the regions of the moving vehicles are detected by the background differences and the edge information, and the skeleton structures are extracted from the detected vehicle regions. Secondly, the effective pixel markers, which are obtained from the skeleton structures, are taken as the object seeds in the random walk algorithm. Finally, the automatic detection of the vehicles is realized by using seeds to segment multiple vehicles in a random walk way.
%K random walk
%K background difference
%K Canny
%K skeleton
%K vehicle detection<br>随机游走
%K 背景差分
%K Canny算子
%K 骨架
%K 车辆检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=A5C78A6579AD8FBB18CEEC798FF41CF1&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=38B194292C032A66&sid=5A735990D5DE8BF4&eid=7D6CD8918B045FD4&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=8