%0 Journal Article
%T Integrating gray and velocity cue for infrared small target tracking<br>灰度与速度线索融合红外小目标跟踪
%A Xue Mogen
%A Yuan Guanglin
%A Xie Kai
%A <br>薛模根
%A 袁广林
%A 谢恺
%J 中国图象图形学报
%D 2011
%I 
%X Infrared small target tracking is susceptible to similar target and background. To address this problem, an algorithm for infrared small target tracking based on gray and velocity cue integration is proposed. The algorithm enhances the target with high pass filter, and calculates velocity of target by principal component analysis. Target tracking is achieved by a cascade particle filter which consists of two stages of importance sampling. At the first stage, the states of target are crudely estimated with gray kernel histogram in high pass filter space. The velocity cues are used to precisely calculate the states of target in the second stage. The experimental results show that the proposed algorithm has stronger ability to resist to interference of noise, and significantly improves the tracking accuracy in comparison with existing tracking algorithms.
%K velocity cues
%K principal component analysis
%K layered particle filter
%K infrared small target tracking<br>速度线索
%K 主分量分析
%K 分层粒子滤波
%K 红外小目标跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=D6304BE3A5F615DAA9CDD95BEDFD6470&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=94C357A881DFC066&sid=08F83145FA367D52&eid=E0FF0FB27B45F84E&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=15