### 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 language | English |
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Title of host publication | International Conference Image and Vision Computing New Zealand |

DOIs | |

Publication status | Published - 2010 |

Event | 25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010 - Queenstown, New Zealand Duration: Nov 8 2010 → Nov 9 2010 |

### Other

Other | 25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010 |
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Country | New Zealand |

City | Queenstown |

Period | 11/8/10 → 11/9/10 |

### Fingerprint

### Keywords

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

### ASJC Scopus subject areas

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

### Cite this

*International Conference Image and Vision Computing New Zealand*[6148840] https://doi.org/10.1109/IVCNZ.2010.6148840

**Dance motion analysis by correlation matrix between pose sequences.** / Yamane, Ryo; Shakunaga, Takeshi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*International Conference Image and Vision Computing New Zealand.*, 6148840, 25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010, Queenstown, New Zealand, 11/8/10. https://doi.org/10.1109/IVCNZ.2010.6148840

}

TY - GEN

T1 - Dance motion analysis by correlation matrix between pose sequences

AU - Yamane, Ryo

AU - Shakunaga, Takeshi

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - correlation matrix

KW - Dance motion analysis

KW - eigenspace

KW - individual difference

KW - similar motion

KW - symmetric motion

UR - http://www.scopus.com/inward/record.url?scp=84858963230&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858963230&partnerID=8YFLogxK

U2 - 10.1109/IVCNZ.2010.6148840

DO - 10.1109/IVCNZ.2010.6148840

M3 - Conference contribution

SN - 9781424496303

BT - International Conference Image and Vision Computing New Zealand

ER -