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A System for Marker-Less Human Motion Estimation

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Pattern Recognition (DAGM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3663))

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Abstract

In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a correspondence module, which relates image data to model data and a pose estimation module. Experiments are done in a four camera setup and we estimate the model components with 21 degrees of freedom in two frames per second. Finally, we perform a comparison of the motion estimation system with a marker based tracking system to perform a quantitative error analysis. The results show the applicability of the system for marker-less sports movement analysis.

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Author information

Authors and Affiliations

  1. Computer Science Department,  

    B. Rosenhahn & R. Klette

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

    U. G. Kersting, A. W. Smith & J. K. Gurney

  3. Math. Image Analysis Group, Saarland University, Germany

    T. Brox

  4. From November 2005: Max Planck Center Saarbrücken,  

    B. Rosenhahn

Authors
  1. B. Rosenhahn
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  2. U. G. Kersting
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  3. A. W. Smith
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  4. J. K. Gurney
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  5. T. Brox
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  6. R. Klette
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Editor information

Editors and Affiliations

  1. PRIP, Vienna University of Technology, Austria

    Walter G. Kropatsch

  2. Vienna University of Technology, Vienna, Austria

    Robert Sablatnig

  3. Pattern Recognition and Image Processing Group, Institute of Computer-Aided Automation, Vienna University of Technology, Favoritenstraße 9/1832, A-1040, Vienna, Austria

    Allan Hanbury

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© 2005 Springer-Verlag Berlin Heidelberg

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Rosenhahn, B., Kersting, U.G., Smith, A.W., Gurney, J.K., Brox, T., Klette, R. (2005). A System for Marker-Less Human Motion Estimation. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds) Pattern Recognition. DAGM 2005. Lecture Notes in Computer Science, vol 3663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550518_29

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  • DOI: https://doi.org/10.1007/11550518_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28703-2

  • Online ISBN: 978-3-540-31942-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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