强激光与粒子束2011，Vol.23Issue(1)：54-58,5.DOI:10.3788/HP1PB20112301.0054
基于多特征融合的微弱红外运动目标跟踪方法
Infrared dim moving target tracking method based on multiple features
摘要
Abstract
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.关键词
微弱红外目标/运动目标跟踪/概率数据关联滤波/多特征融合Key words
infrared dim target/ moving target tracking/ probabilistic data association filter/ multi-feature association分类
信息技术与安全科学引用本文复制引用
李正周,马齐佑,郑微,刘书君,金钢..基于多特征融合的微弱红外运动目标跟踪方法[J].强激光与粒子束,2011,23(1):54-58,5.基金项目
中央高校基本科研业务费资助课题(CDJZR10160004) （CDJZR10160004）
