6 June 2012 Robust multi-stage approach for the detection of moving target from infrared imagery
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Abstract
We present a multi-stage classification approach to detect targets in widely varying thermal imagery. A multi-level spatial-temporal median filter is utilized to extract the background frame, with which the background clutters are suppressed by using the principal component analysis technique. A spatially related fuzzy adaptive resonance theory (ART) neural network is then applied to identify the local regions-of-interest. Within each region, another fuzzy ART neural network is utilized to detect the targets. Experimental results demonstrate that the proposed approach is capable of detecting infrared moving targets effectively for F1 measurement up to 96.3%.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Bingwen Chen, Bingwen Chen, Wenwei Wang, Wenwei Wang, Qianqing Qin, Qianqing Qin, } "Robust multi-stage approach for the detection of moving target from infrared imagery," Optical Engineering 51(6), 067006 (6 June 2012). https://doi.org/10.1117/1.OE.51.6.067006 . Submission:
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