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3D Human Motion Tracking Using Progressive Particle Filter

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

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Abstract

The work proposes a model-based 3D human motion tracking algorithm, Progressive particle filter, with a single unconstrained camera. Particle filter is an useful algorithm for human motion tracking, but it suffers from the degeneracy problem and huge computation. The study improves the sampling efficiency by integrating the mean shift trackers into each particle toward each local maximum for raising the accuracy. Besides, we also combine the hierarchical searching approach to decompose the high dimensional space into three low dimensional spaces for reducing the computational cost. Experimental results show the proposed algorithm can successfully reduce the computational cost and track more accuracy than classical particle filter.

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Author information

Authors and Affiliations

  1. Graduate of Institute of Networking and Multimedia, National Taiwan University, Taiwan

    Shih-Yao Lin

  2. Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualein, Taiwan

    I-Cheng Chang

Authors
  1. Shih-Yao Lin
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  2. I-Cheng Chang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

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© 2008 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lin, SY., Chang, IC. (2008). 3D Human Motion Tracking Using Progressive Particle Filter. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_82

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  • DOI: https://doi.org/10.1007/978-3-540-89646-3_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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