Robust multi-stage approach for the detection of moving target from infrared imagery

Bingwen Chen; Wenwei Wang; Qianqing Qin

doi:10.1117/1.OE.51.6.067006

6 June 2012 Robust multi-stage approach for the detection of moving target from infrared imagery

Bingwen Chen, Wenwei Wang, Qianqing Qin

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Optical Engineering, Vol. 51, Issue 6, 067006 (June 2012). https://doi.org/10.1117/1.OE.51.6.067006

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%.

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Bingwen Chen, Wenwei Wang, and 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

Published: 6 June 2012

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