NDLI: Extraction and alignment evaluation of motion beats for street dance

Content Provider	IEEE Xplore Digital Library
Author	Chieh Ho Wei-Tze Tsai Keng-Sheng Lin Chen, H.H.
Copyright Year	2013
Description	Author affiliation: Nat. Taiwan Univ., Taipei, Taiwan (Chieh Ho; Wei-Tze Tsai; Keng-Sheng Lin; Chen, H.H.)
Abstract	The coordination between the dancer's movement and the accompaniment of music is an important element of dance performance. In this paper, we propose a system for coordination evaluation of street dance. Given a dance video clip as input, the system first extracts motion beats from the video and then measures how well the motion beats correlate with the music beats. The motion beats are obtained by analyzing the speed and the change of direction of the dancer's movement. Unlike most previous work, which mainly focuses on 2D motion trajectory analysis, our system provides a more efficient and accurate dance movement analysis by using the 3D joint data of the dancer acquired by Kinect. Another distinction of our system is that, for beat correlation, it considers not only the underlying steady beat of music but also the groove pattern that gives the propulsive rhythmic feel of the music. We believe the differentiation of music beats into these two categories leads to a finer dance coordination evaluation. The test video clips for performance evaluation are generated by professional dancers. The average F-score of our system is about 80%.
Starting Page	2429
Ending Page	2433
File Size	644965
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6638091
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Abstracts Indexes Data processing Data visualization dance movement analysis Motion beat music beat beat extraction music and dance coordination
Content Type	Text
Resource Type	Article

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