DETECTION AND TRACKING OF A MOVING POINT TARGET IN INFRARED IMAGE SEQUENCES USING AUXILIARY PARTICLE FILTER

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.

关键词： Tracking Particle filter Infrared image Point targets

作者: ZHIJUN LIU SHENGLI XIE XIANYI REN

作者单位: School of Electronics and Information Engineering, South China University of Technology, Guangzhou 5 School of Electronics and Information Engineering, South China University of Technology, Guangzhou 5 Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2530-2533

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）