Human positioning and tracking in smart environments using colour pattern matching
by M.P. Poland, C.D. Nugent, H. Wang, L. Chen
International Journal of Healthcare Technology and Management (IJHTM), Vol. 12, No. 2, 2011

Abstract: The gold standard for detection and tracking of a human target in an indoor setting is Background Subtraction (BS). However BS has numerous problems when utilised indoors. Colour pattern matching may offer a viable and superior alternative to BS whilst enhancing privacy and person-device independence. Results obtained from this study demonstrate that, when using colour pattern matching to target a person's clothing, detection rates of 97.28% can be maintained across the electromagnetic spectrum of visible light, and during instances of acute differentiation in ambient illumination whilst allowing for a privacy-enabling blurring technique to be applied to all frames.

Online publication date: Sat, 28-Mar-2015

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