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3D Human Motion Sequences Synchronization Using Dense Matching Algorithm

  • Mikhail Mozerov
  • Ignasi Rius
  • Xavier Roca
  • Jordi González
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4174)

Abstract

This work solves the problem of synchronizing pre-recorded human motion sequences, which show different speeds and accelerations, by using a novel dense matching algorithm. The approach is based on the dynamic programming principle that allows finding an optimal solution very fast. Additionally, an optimal sequence is automatically selected from the input data set to be a time scale pattern for all other sequences. The synchronized motion sequences are used to learn a model of human motion for action recognition and full-body tracking purposes.

Keywords

Action Recognition Human Motion Training Sequence Motion Sequence Human Posture 
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-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mikhail Mozerov
    • 1
  • Ignasi Rius
    • 1
  • Xavier Roca
    • 1
  • Jordi González
    • 2
  1. 1.Computer Vision Center and Departament d’Informàtica Universitat Autònoma de BarcelonaCerdanyolaSpain
  2. 2.Institut de Robòtica i Informàtica Industrial (UPC-CSIC)Spain

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