Target tracking in infrared imagery using a novel particle filter

作     者：王芳林 刘尔琦 杨杰 郁生阳 周越 

作者机构：Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Institute of the Second Academy China Aerospace Science and Industry Corporation 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2009年第7卷第7期

页      面：576-579页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National"863" Project of China (No. 2007AA01Z164) the National Natural Science Foundation of China (Nos.60675023 and 60602012) 

主　　题：Infrared imaging   Nonlinear filtering   Targets 

摘      要：To address two challenging problems in infrared target tracking, target appearance changes and unpre- dictable abrupt motions, a novel particle filtering based tracking algorithm is introduced. In this method, a novel saliency model is proposed to distinguish the salient target from background, and the eigenspace model is invoked to adapt target appearance changes. To account for the abrupt motions efficiently, a two- step sampling method is proposed to combine the two observation models. The proposed tracking method is demonstrated through two real infrared image sequences, which include the changes of luminance and size, and the drastic abrupt motions of the target.