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Hand Tracking by Fusion of Color and a Range Sensor Open Access


Other title
hand tracking
graphical model
Type of item
Degree grantor
University of Alberta
Author or creator
Sen, Abhishek
Supervisor and department
Prof. Anup Basu , Dr. Irene Cheng
Examining committee member and department
Prof. Anup Basu (Computing Science)
Prof. Hong Zhang (Computing Science)
Dr. Mahdi Tavakoli (Electrical and Computer Engineering)
Prof. Pierre Boulanger (Computing Science)
Dr. Irene Cheng (Computing Science)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
In this work we have developed a decentralized algorithm for efficient localization and tracking of hands from a sequence of depth and colour images. We deduce the location of key-points using a Bayesian framework. We use anthropomorphic constraints for modelling the interaction between body-parts.Furthermore, we incorporate an occlusion reasoning and data association preservation procedure for dealing with ambiguities. Our work is adaptive to illumination changes despite utilizing the skin-color information for tracking. Experimental results demonstrate that our system produces more accurate tracking of the head and hands in video, compared to prior research.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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