%0 Journal Article
%T Application of Particle Filter Based on Feature Fusion in Small IR Target Tracking<br>基于特征融合的粒子滤波在红外小目标跟踪中的应用
%A WANG Xin
%A TANG Zhen-min
%A <br>王 鑫
%A 唐振民
%J 中国图象图形学报
%D 2010
%I 
%X For small target tracking in infrared (IR) image sequences, a particle filter algorithm based on feature fusion is presented with the analysis of the characters of small IR targets. Taking the advantage of particle filter of supporting target feature fusion method, this algorithm combines the gray feature with fractal feature, and then uses the fusion results to calculate the particle weights, which greatly improves the robustness of the tracking algorithm. The experimental results show that the presented method is more accurate and effective for small IR target tracking in infrared image sequences than the traditional particle filter method.
%K small IR target tracking
%K particle filter
%K feature fusion
%K gray histogram
%K fractal dimension<br>红外小目标跟踪
%K 粒子滤波
%K 特征融合
%K 灰度直方图
%K 分形维数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=1480E83B194EB14907B6FD7DA8B8E933&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=CA4FD0336C81A37A&sid=C753EB8AC8F551B9&eid=C3BF5C58156BEDF0&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=12