TY - GEN
T1 - Dance motion segmentation method based on choreographic primitives
AU - Okada, Narumi
AU - Iwamoto, Naoya
AU - Fukusato, Tsukasa
AU - Morishima, Shigeo
PY - 2015
Y1 - 2015
N2 - Data-driven animation using a large human motion database enables the programing of various natural human motions. While the development of a motion capture system allows the acquisition of realistic human motion, segmenting the captured motion into a series of primitive motions for the construction of a motion database is necessary. Although most segmentation methods have focused on periodic motion, e.g., walking and jogging, segmenting non-periodic and asymmetrical motions such as dance performance, remains a challenging problem. In this paper, we present a specialized segmentation approach for human dance motion. Our approach consists of three steps based on the assumption that human dance motion is composed of consecutive choreographic primitives. First, we perform an investigation based on dancer perception to determine segmentation components. After professional dancers have selected segmentation sequences, we use their selected sequences to define rules for the segmentation of choreographic primitives. Finally, the accuracy of our approach is verified by a user-study, and we thereby show that our approach is superior to existing segmentation methods. Through three steps, we demonstrate automatic dance motion synthesis based on the choreographic primitives obtained.
AB - Data-driven animation using a large human motion database enables the programing of various natural human motions. While the development of a motion capture system allows the acquisition of realistic human motion, segmenting the captured motion into a series of primitive motions for the construction of a motion database is necessary. Although most segmentation methods have focused on periodic motion, e.g., walking and jogging, segmenting non-periodic and asymmetrical motions such as dance performance, remains a challenging problem. In this paper, we present a specialized segmentation approach for human dance motion. Our approach consists of three steps based on the assumption that human dance motion is composed of consecutive choreographic primitives. First, we perform an investigation based on dancer perception to determine segmentation components. After professional dancers have selected segmentation sequences, we use their selected sequences to define rules for the segmentation of choreographic primitives. Finally, the accuracy of our approach is verified by a user-study, and we thereby show that our approach is superior to existing segmentation methods. Through three steps, we demonstrate automatic dance motion synthesis based on the choreographic primitives obtained.
KW - Choreographic primitives
KW - Dance motion
KW - Motion capture
KW - Motion segmentation
UR - http://www.scopus.com/inward/record.url?scp=84938829175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938829175&partnerID=8YFLogxK
U2 - 10.5220/0005304303320339
DO - 10.5220/0005304303320339
M3 - Conference contribution
AN - SCOPUS:84938829175
T3 - GRAPP 2015 - 10th International Conference on Computer Graphics Theory and Applications; VISIGRAPP, Proceedings
SP - 332
EP - 339
BT - GRAPP 2015 - 10th International Conference on Computer Graphics Theory and Applications; VISIGRAPP, Proceedings
A2 - Braz, Jose
A2 - Pettre, Julien
A2 - Richard, Paul
PB - SciTePress
T2 - 10th International Conference on Computer Graphics Theory and Applications, GRAPP 2015
Y2 - 11 March 2015 through 14 March 2015
ER -