%0 Journal Article
%T Object detection and tracking method for intelligent surveillance<br>一种用于智能监控的目标检测和跟踪方法*
%A WANG Su yu
%A SHEN Lan sun
%A LI Xiao guang
%A <br>王素玉
%A 沈兰荪
%A 李晓光
%J 计算机应用研究
%D 2008
%I 
%X This paper designed and realized a simple and effective object detection and tracking scheme,based on a review of the existed detection and tracking algorithms.At first,proposed a pixel intensity classification and the single Gaussian model based background reconstruction algorithm,which could provide an accurate background model through a sequence of scene images with foreground objects.Then used the background subtraction method for object detection,selected the center of the object as the matching feature for tracking of multi-objects among the sequence.Experimental results show that the proposed algorithm and scheme is simple to realize,and can detect and track the moving objects effectively,it shows obvious perfor-mance improvement compared with the traditional time-averaged background based method.
%K object detection
%K object tracking
%K background reconstruction
%K Gaussian model
%K K-means cluster<br>目标检测
%K 目标跟踪
%K 背景重构
%K 高斯模型
%K K均值聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FD949916F9956D66DD76D9D8ACAF1F4D&yid=67289AFF6305E306&vid=C5154311167311FE&iid=5D311CA918CA9A03&sid=3CE4809583EA9894&eid=E05E2C1A535A9D38&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=11