Print Email Facebook Twitter Urban camouflage assessment through visual search and computational saliency Title Urban camouflage assessment through visual search and computational saliency Author Toet, A. Hogervorst, M.A. Publication year 2013 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. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) Subject HumanPCS - Perceptual and Cognitive SystemsBSS - Behavioural and Societal SciencesDefence ResearchVisionDefence, Safety and SecurityCamouflageClutterSaliencySearch timeDetection probability To reference this document use: http://resolver.tudelft.nl/uuid:ea8d8f5b-05d9-4070-8e9d-267849dabef1 DOI https://doi.org/10.1117/1.oe.52.4.041103 TNO identifier 466399 Source Optical Engineering, 52 (4) Article number 041103 Document type article Files PDF toet-2013-urban.pdf