loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Narumi Okada 1 ; Naoya Iwamoto 1 ; Tsukasa Fukusato 1 and Shigeo Morishima 2

Affiliations: 1 Waseda University, Japan ; 2 Waseda Research Institute for Science and Engineering, Japan

Keyword(s): Choreographic Primitives, Motion Segmentation, Motion Capture, Dance Motion.

Related Ontology Subjects/Areas/Topics: Animation Algorithms and Techniques ; Animation and Simulation ; Animation from Motion Capture ; Animation Systems ; Character Animation ; Computer Vision, Visualization and Computer Graphics ; Human Figure Animation

Abstract: 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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.35.62

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Okada, N.; Iwamoto, N.; Fukusato, T. and Morishima, S. (2015). Dance Motion Segmentation Method based on Choreographic Primitives. In Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2015) - GRAPP; ISBN 978-989-758-087-1; ISSN 2184-4321, SciTePress, pages 332-339. DOI: 10.5220/0005304303320339

@conference{grapp15,
author={Narumi Okada. and Naoya Iwamoto. and Tsukasa Fukusato. and Shigeo Morishima.},
title={Dance Motion Segmentation Method based on Choreographic Primitives},
booktitle={Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2015) - GRAPP},
year={2015},
pages={332-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005304303320339},
isbn={978-989-758-087-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2015) - GRAPP
TI - Dance Motion Segmentation Method based on Choreographic Primitives
SN - 978-989-758-087-1
IS - 2184-4321
AU - Okada, N.
AU - Iwamoto, N.
AU - Fukusato, T.
AU - Morishima, S.
PY - 2015
SP - 332
EP - 339
DO - 10.5220/0005304303320339
PB - SciTePress