%0 Journal Article
%T Research on customs vehicle monitoring based on two-step targets tracking algorithm<br>基于两步跟踪算法的海关车辆监控研究*
%A WANG Xu
%A ZHANG Xue-hui
%A GE Xian-longb
%A <br>王旭
%A 张雪辉
%A 葛显龙b
%J 计算机应用研究
%D 2012
%I 
%X The vehicle video monitoring at customs bayonet has a very high demand for its real-time and robustness. In response to this requirement,this paper proposed a two-step tracking algorithm based on improved Mean-Shift algorithm and particle filter. Firstly,established the initial frame image target model of customs vehicle monitoring by YCbCr color space. Secondly, identified the candidate targets by the improved Mean-Shift algorithm. Once the track similarity was less than the set threshold, then the follow-up tracking will be instead by improved particle filter algorithm. Finally, experiment analysis shows that the proposed algorithm can guarantee the real-time of Mean-Shift algorithm, but also can ensure the robust of particle filter tracking, so it is of good application value.
%K 视频监控
%K 均值漂移算法
%K 粒子滤波算法
%K 两步跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4189763B19B8AD458DF64971CEA43DE3&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=9C65ADEB5990B252&eid=35FC3610259C2B32&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9