Detection and tracking of a moving point target in infrared image sequences using auxiliary particle filter

被引：0
|
作者：
Liu, Zhijun [1 ,2 ]
Xie, Shengli [1 ]
Ren, Xianyi [3 ]
机构：
[1] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] TCL Corp Res, Shenzhen 518067, Peoples R China
[3] Tsinghua Univ, Res Inst, Shenzhen 518057, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
关键词：
tracking; particle filter; infrared image; point targets;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
An appropriate measurement likelihood function is proposed from the measurement image model employed by most of the track-before-detect (TBD) approaches. Based on the likelihood function and a target motion model, we design an auxiliary particle filter-based Bayes multiframe method for detection and tracking a moving point target in infrared (IR) image sequences. Experimental results show its effectiveness for the detection and tracking of a low signal-to-noise ratio (SNR) point target.
引用
收藏
页码：2530 / +
页数：2
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