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

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3 Author(s)
Zhijun Liu ; School of Electronics and Information Engineering, South China University of Technology, Guangzhou 510641, China ; Shengli Xie ; Xianyi Ren

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.

Published in:

2008 International Conference on Machine Learning and Cybernetics  (Volume:5 )

Date of Conference:

12-15 July 2008