%0 Journal Article
%T Infrared Target Tracking Based on Adaptive Particle Filter<br>基于自适应粒子滤波的红外目标跟踪
%A YAO Hong-ge
%A LEI Song-ze
%A QI Hua
%A HAO Chong-yang
%A <br>姚红革
%A 雷松泽
%A 齐华
%A 郝重阳
%J 光子学报
%D 2009
%I 
%X For tracking infrared target in non-linear condition,an adaptive particle filtering algorithm was presented.A weighted probability model of target was established.During the filtering,a resampling method based on bi-process was proposed.On basis of the method,an adaptive adjustment to sampled particle-set was formed,which resolves efficiently particles degeneration.To valuate the efficiency of the proposed algorithm,it was applied to the real infrared image sequence tracking.Experiment result shows,in non-linear condition,in comparison with traditional FP and EKF,the proposed algorithm have great advantages in the field.
%K Target tracking
%K Adaptive particle filter
%K Bi-process
%K Weighted color probability contribution<br>目标跟踪
%K 粒子滤波
%K 双过程
%K 加权颜色概率分布
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=7B142CBBB74FDECA492CEF803565A2EF&yid=DE12191FBD62783C&vid=16D8618C6164A3ED&iid=B31275AF3241DB2D&sid=5D9E227628843A85&eid=3DB657DD5E356007&journal_id=1004-4213&journal_name=光子学报&referenced_num=1&reference_num=13