Hand Tracking by Fusion of Color and a Range Sensor

  • Author / Creator
    Sen, Abhishek
  • 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.

  • Subjects / Keywords
  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
  • Institution
    University of Alberta
  • Degree level
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Prof. Anup Basu , Dr. Irene Cheng
  • Examining committee members and their departments
    • Prof. Anup Basu (Computing Science)
    • Dr. Mahdi Tavakoli (Electrical and Computer Engineering)
    • Dr. Irene Cheng (Computing Science)
    • Prof. Hong Zhang (Computing Science)
    • Prof. Pierre Boulanger (Computing Science)