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Optical Engineering

Urban camouflage assessment through visual search and computational saliency
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Paper Abstract

We present a new method to derive a multiscale urban camouflage pattern from a given set of background image samples. We applied this method to design a camouflage pattern for a given (semi-arid) urban environment. We performed a human visual search experiment and a computational evaluation study to assess the effectiveness of this multiscale camouflage pattern relative to the performance of 10 other (multiscale, disruptive and monotonous) patterns that were also designed for deployment in the same operating theater. The results show that the pattern combines the overall lowest detection probability with an average mean search time. We also show that a frequency-tuned saliency metric predicts human observer performance to an appreciable extent. This computational metric can therefore be incorporated in the design process to optimize the effectiveness of camouflage patterns derived from a set of background samples.

Paper Details

Date Published: 30 November 2012
PDF: 9 pages
Opt. Eng. 52(4) 041103 doi: 10.1117/1.OE.52.4.041103
Published in: Optical Engineering Volume 52, Issue 4
Show Author Affiliations
Alexander Toet, TNO Defence, Security and Safety (Netherlands)
Maarten A. Hogervorst, TNO Defence, Security and Safety (Netherlands)

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