Title: Human positioning and tracking in smart environments using colour pattern matching

Authors: M.P. Poland, C.D. Nugent, H. Wang, L. Chen

Addresses: Computer Science Research Institute, and School of Computing and Mathematics, University of Ulster, Northern Ireland, BT37 0QB, UK. ' Computer Science Research Institute, and School of Computing and Mathematics, University of Ulster, Northern Ireland, BT37 0QB, UK. ' Computer Science Research Institute, and School of Computing and Mathematics, University of Ulster, Northern Ireland, BT37 0QB, UK. ' Computer Science Research Institute, and School of Computing and Mathematics, University of Ulster, Northern Ireland, BT37 0QB, UK

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.

Keywords: colour pattern matching; human indoor tracking; smart environments; human tracking; human detection; privacy; person-device independence; clothing; blurring; video data; visible-light sensors; filtering.

DOI: 10.1504/IJHTM.2011.039625

International Journal of Healthcare Technology and Management, 2011 Vol.12 No.2, pp.113 - 131

Published online: 28 Mar 2015 *

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