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Optical Engineering

Robust multi-stage approach for the detection of moving target from infrared imagery
Author(s): Bingwen Chen; Wenwei Wang; Qianqing Qin
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Paper 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%.

Paper Details

Date Published: 6 June 2012
PDF: 10 pages
Opt. Eng. 51(6) 067006 doi: 10.1117/1.OE.51.6.067006
Published in: Optical Engineering Volume 51, Issue 6
Show Author Affiliations
Bingwen Chen, Wuhan Univ. (China)
Wenwei Wang, Wuhan Univ. (China)
Qianqing Qin, Wuhan Univ. (China)


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