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Markerless 3D Human Motion Capture from Images

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Encyclopedia of Biometrics

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Abstract

Markerless human motion capture from images entails recovering the successive 3D poses of a human body moving in front of one or more cameras, which should be achieved without additional sensors or markers to be worn by the person. The 3D poses are usually expressed in terms of the joint angles of a kinematic model including an articulated skeleton and volumetric primitives designed to approximate the body shape. They can be used to analyze, modify, and resynthesize the motion. As no two people move in exactly the same way, they also constitute a signature that can be used for identification purposes.

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Authors and Affiliations

  1. EPFL, IC-CVLab, Lausanne, Switzerland

    Pascal Fua

Authors
  1. Pascal Fua
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Correspondence to Pascal Fua .

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Editors and Affiliations

  1. Center Biometrics Research & Security Nat'l. Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Department of Computer Science & Engineering, Michigan State University, East Lansing, Michigan, USA

    Anil K. Jain

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Fua, P. (2014). Markerless 3D Human Motion Capture from Images. In: Li, S., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27733-7_38-3

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  • DOI: https://doi.org/10.1007/978-3-642-27733-7_38-3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Online ISBN: 978-3-642-27733-7

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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