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A Relational Approach to Content-based Analysis of Motion Capture Data

  • Chapter
Human Motion

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

Motion capture or mocap systems allow for tracking and recording of human motions at high spatial and temporal resolutions. The resulting 3D mocap data is used for motion analysis in fields such as sports sciences, biomechanics, or computer vision, and in particular for motion synthesis in data-driven computer animation. In view of a rapidly growing corpus of motion data, automatic retrieval, annotation, and classification of such data has become an important research field. Since logically similar motions may exhibit significant spatio-temporal variations, the notion of similarity is of crucial importance in comparing motion data streams. After reviewing various aspects of motion similarity, we discuss as the main contribution of this chapter a relational approach to content-based motion analysis, which exploits the existence of an explicitly given kinematic model underlying the 3D mocap data. Considering suitable combinations of boolean relations between specified body points allows for capturing the motion content while disregarding motion details. Finally, we sketch how such relational features can be used for automatic and efficient segmentation, indexing, retrieval, classification, and annotation of mocap data.

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Author information

Authors and Affiliations

  1. Institut für Informatik III, Universität Bonn, Römerstr. 164, 53117, Bonn, Germany

    Meinard Müller & Tido Röder

Authors
  1. Meinard Müller
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  2. Tido Röder
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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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Müller, M., Röder, T. (2008). A Relational Approach to Content-based Analysis of Motion Capture Data. 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_20

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  • DOI: https://doi.org/10.1007/978-1-4020-6693-1_20

  • 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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