Dance motion analysis by correlation matrix between pose sequences

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Since a dance motion is represented as a temporal sequence of poses, comparison of motion data is reduced to the comparison of individual poses. In the present paper, the pose comparison problem is basically solved by 2D correlation assuming that human motion is bound by gravity. Therefore, dance motion analysis is discussed based on correlation matrices that are calculated between two motion sequences captured by a motion capture system. A correlation matrix, in which each component represents a pose similarity between two poses, is defined between two motion sequences. A symmetric correlation matrix is also defined from symmetric similarities between two motion sequences. These correlation matrices are used for extraction of motion sequences that are similar or symmetric to a given dance motion, respectively. They are also used for motion difference analysis between two dancers performing a particular dance. In motion difference analysis, the correlation matrix is also considered between a motion sequence and a motion eigenspace. Some subtle motion errors can be extracted with the correlation matrix when a motion eigenspace is constructed over standard motion data.

Original languageEnglish
Title of host publicationIVCNZ 2010 - 25th International Conference of Image and Vision Computing New Zealand
DOIs
Publication statusPublished - Dec 1 2010
Event25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010 - Queenstown, New Zealand
Duration: Nov 8 2010Nov 9 2010

Publication series

NameInternational Conference Image and Vision Computing New Zealand
ISSN (Print)2151-2191
ISSN (Electronic)2151-2205

Other

Other25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010
CountryNew Zealand
CityQueenstown
Period11/8/1011/9/10

Keywords

  • Dance motion analysis
  • correlation matrix
  • eigenspace
  • individual difference
  • similar motion
  • symmetric motion

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Yamane, R., & Shakunaga, T. (2010). Dance motion analysis by correlation matrix between pose sequences. In IVCNZ 2010 - 25th International Conference of Image and Vision Computing New Zealand [6148840] (International Conference Image and Vision Computing New Zealand). https://doi.org/10.1109/IVCNZ.2010.6148840