3D human motion sequences synchronization using dense matching algorithm

Authors:
Mikhail Mozerov;Ignasi Rius;Xavier Roca;Jordi González
Affiliations:
Computer Vision Center and Departament d'Informàtica Universitat Autònoma de Barcelona, Cerdanyola, Spain;Computer Vision Center and Departament d'Informàtica Universitat Autònoma de Barcelona, Cerdanyola, Spain;Computer Vision Center and Departament d'Informàtica Universitat Autònoma de Barcelona, Cerdanyola, Spain;Institut de Robòtica i Informàtica Industrial (UPC-CSIC), Spain
Venue:
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Year:
2006

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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.