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Radiometry, Infrared Systems, Tracking

Evaluation of human detection performance using target structure similarity clutter metrics

[+] Author Affiliations
Honghua Chang

Xidian University, School of Technical Physics, Xi’an Shannxi 710071 China

Jianqi Zhang

Xidian University, School of Technical Physics, Xi’an Shannxi 710071 China

Opt. Eng. 45(9), 096404 (September 18, 2006). doi:10.1117/1.2353848
History: Received June 23, 2005; Revised February 19, 2006; Accepted February 23, 2006; Published September 18, 2006
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One of the most challenging research topics in the field of target detection in electro-optical images is the relationship between image content and human detection performance. We propose two target structure similarity (TSSIM) metrics to describe global image clutter. Via a simple mathematical formula, the TSSIM clutter metrics and their combinations with different local target-to-background contrasts, which are loosely referred to as signal-to-clutter ratios (SCRs), are used to predict human detection performance. Other clutter measures and their combinations with the contrast ones are also considered for comparison. The degrees of correlation between target detection probabilities and various clutter metrics, as well as the SCR models, are presented. Experiment results show that the TSSIM measures are more suitable for quantifying electro-optical clutter than other clutter measures compared. And the SCR metric, which combines the root-sum-of-squares local contrast and a TSSIM clutter metric, generates the best predictive capabilities for the experimental detection probabilities.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Honghua Chang and Jianqi Zhang
"Evaluation of human detection performance using target structure similarity clutter metrics", Opt. Eng. 45(9), 096404 (September 18, 2006). ; http://dx.doi.org/10.1117/1.2353848


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