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Human Motion pp 295–317Cite as

Tracking Clothed People

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 36))

This chapter presents an approach for motion capturing (MoCap) of dressed people. A cloth draping method is embedded in a silhouette-based MoCap system and an error functional is formalized to minimize image errors with respect to silhouettes, pose and kinematic chain parameters, the cloth draping components and external forces. Furthermore, Parzen-Rosenblatt densities on static pose configurations are used to stabilize tracking in highly noisy image sequences. We report on various experiments with two types of clothes, namely a skirt and a pair of shorts. Finally we compare the angles of the MoCap system with results from a commercially available marker-based tracking system. The experiments show, that we are less than one dregree above the error range of marker-based tracking systems, though body parts are occluded with cloth.

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Author information

Authors and Affiliations

  1. Max-Planck Institute for Computer Science, Stuhlsatzhausenweg 85, D-66123, Saarbrücken, Germany

    Bodo Rosenhahn & Hans-Peter Seidel

  2. Department of Sport and Exercise Science, The University of Auckland, New Zealand

    Uwe G. Kersting & Katie Powell

  3. CVPR Group, University of Bonn, Römerstr. 164, 53117, Bonn, Germany

    Thomas Brox

Authors
  1. Bodo Rosenhahn
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  2. Uwe G. Kersting
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  3. Katie Powell
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  4. Thomas Brox
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  5. Hans-Peter Seidel
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Editor information

Editors and Affiliations

  1. Max-Planck Institute for Computer Science, Stuhlsatzhausenweg 85, D-66123, Saarbrücken, Germany

    Bodo Rosenhahn

  2. The University of Auckland, New Zealand

    Reinhard Klette

  3. Rutgers University, Piscataway, NJ, USA

    Dimitris Metaxas

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Rosenhahn, B., Kersting, U.G., Powell, K., Brox, T., Seidel, HP. (2008). Tracking Clothed People. In: Rosenhahn, B., Klette, R., Metaxas, D. (eds) Human Motion. Computational Imaging and Vision, vol 36. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6693-1_12

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  • DOI: https://doi.org/10.1007/978-1-4020-6693-1_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-6692-4

  • Online ISBN: 978-1-4020-6693-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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