Encyclopedia of Biometrics

Living Edition
| Editors: Stan Z. Li, Anil K. Jain

Markerless 3D Human Motion Capture from Images

  • Pascal Fua
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-27733-7_38-3

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.

Keywords

Joint Angle Motion Model Motion Capture Visual Hull Gait Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.EPFLIC-CVLabLausanneSwitzerland