Detecting dance motion structure through music analysis

Authors:
Takaaki Shiratori;Atsushi Nakazawa;Katsushi Ikeuchi
Affiliations:
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan;Cybermedia Center, Osaka University, Osaka, Japan;Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

In these days, many important intangible cultural properties of the world are being lost because of the lack of successive performers. Digital archiving technology is one of the effective solutions for this issue, and we have started our digital archiving project of cultural properties including these intangible ones. For these human motion archives, the method of automatic motion structure analysis is vital for a variety of purposes. We believe that the dance motion consists of "primitive motions" and that motion analysis is necessary to detect these components. Particularly for dance motions, we think these primitives must be synchronized to the musical rhythm. In this paper, we introduce musical information for motion structure analysis. This method automatically detects the musical rhythm and segments the original motion, and classifies them as to the primitive motions. The experimental results confirm that our motion analysis yielded the primitive motions in accordance to the musical rhythm.