Paper
22 May 2015 The effect of contrast in camouflage patterns on detectability by human observers and CAMAELEON
Author Affiliations +
Abstract
Evaluation of signature properties of military equipment is very important. It is crucial to apply the proper method out of many possible approaches, based on amongst others ranking by probability of detection, detection time, and distance to target, which have been carried out by various countries. In this paper we present results from camouflage pattern assessments utilising two different approaches, based on human observers (detection time) and simulations (CAMAELEON). CAMAELEON ranks camouflaged targets by their local contrast, orientation and spatial frequency, mimicking the human eye’s response, and is a rapid and low cost method for signature assessment. In our camouflage tests, human observers were asked to search for targets (in a natural setting) presented on a high resolution pc screen, and the corresponding detection times were recorded. In our study we find a good correspondence between the camouflage properties of the targets in most of our unique tests (scenes), but in some particular cases there is an interesting deviation. Two similar camouflage patterns (both were random samples of the pattern) were tested, and it seemed that the results depended on the way the pattern is attached to the test subject. More precisely, it may seem that high-contrast coloured patches of the pattern in the target outline were significantly different detected by humans compared to CAMAELEON. In this paper we discuss this deviation in the two signature evaluation methods and look at potential risks.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniela H. Heinrich and Gorm K. Selj "The effect of contrast in camouflage patterns on detectability by human observers and CAMAELEON", Proc. SPIE 9476, Automatic Target Recognition XXV, 947604 (22 May 2015); https://doi.org/10.1117/12.2176968
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Cited by 3 scholarly publications.
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KEYWORDS
Target detection

Camouflage

Head

Visualization

Eye

Spatial frequencies

Visual process modeling

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