Track before detect for point targets with particle filter in infrared image sequences
Chinese Optics Letters, Vol. 3, Issue 6, pp. 322-325 (2005)
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Abstract
The problem of detecting and tracking point targets in a sequence of infrared images with very low signal-to-noise ratio (SNR) is investigated in this paper. A track before detect algorithm for infrared (IR) point target is developed based on particle filter. The particle filter is used to estimate the state of the target in track stage. The unnormalized weights of the output of the filter are used to approximately construct the likelihood ratio for hypothesis test in detection stage. Experiment results with the real image sequences that SNR is about 2.0 show that the proposed algorithm can successfully detect and track point target.
© 2005 Chinese Optics Letters
OCIS Codes
(100.0100) Image processing : Image processing
(110.2970) Imaging systems : Image detection systems
(110.3080) Imaging systems : Infrared imaging
Citation
Hongtao Hu, Zhongliang Jing, and Shiqiang Hu, "Track before detect for point targets with particle filter in infrared image sequences," Chin. Opt. Lett. 3, 322-325 (2005)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-3-6-322
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