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  • http://hdl.handle.net/10402/era.25368
  • Hand Tracking by Fusion of Color and a Range Sensor
  • Sen, Abhishek
  • English
  • hand tracking
    graphical model
  • Jan 31, 2012 2:22 PM
  • Thesis
  • English
  • Adobe PDF
  • 17317070 bytes
  • 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.
  • Master's
  • Master of Science
  • Department of Computing Science
  • Spring 2012
  • Prof. Anup Basu , Dr. Irene Cheng
  • Prof. Hong Zhang (Computing Science)
    Prof. Pierre Boulanger (Computing Science)
    Dr. Mahdi Tavakoli (Electrical and Computer Engineering)
    Dr. Irene Cheng (Computing Science)
    Prof. Anup Basu (Computing Science)