Infrared dim moving target tracking method based on multiple features

被引：1
|
作者：
Li Z. [1 ]
Ma Q. [1 ]
Zheng W. [1 ]
Liu S. [1 ]
Jin G. [2 ,3 ]
机构：
[1] College of Communication Engineering, Chongqing University
[2] China Aerodynamics Research and Development Center
[3] Institute of Optics and Electronics, Chinese Academy of Sciences
来源：
Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams | 2011年 / 23卷 / 01期
关键词：
Infrared dim target; Moving target tracking; Multi-feature association; Probabilistic data association filter;
D O I：
10.3788/HPLPB20112301.0054
中图分类号：
学科分类号：
摘要：
Based on the fact that the motion (i.e. azimuth, elevation and their derivative velocities), amplitude and size of infrared target could be acquired simultaneously, a multi-feature association based approach is presented to track infrared dim moving target. The characters of the infrared imaging tracking system are first analyzed, and the motion, amplitude and size of target of interest are modeled as second order stationary random signals. The probability of motion, amplitude and size of measurement originated as target of interest is then estimated by Gaussian distribution. Subsequently, the combined probability of motion, amplitude and size is derived by probabilistic data association(PDA), and their weight coefficients are estimated adaptively according to their fluctuations. Finally, the relevant parameters including combination measurement are predicted and updated. Some experiments are included and the results show that the performance of target tracking is significantly enhanced by the proposed approach.
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收藏
页码：54 / 58
页数：4
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