Vision-based motion capture of interacting multiple people

Hiroaki Egashira, Atsushi Shimada, Daisaku Arita, Rin Ichiro Taniguchi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

Vision-based motion capture is getting popular for acquiring human motion information in various interactive applications. To enlarge its applicability, we have been developing a vision-based motion capture system which can estimate the postures of multiple people simultaneously using multiview image analysis. Our approach is divided into the following two phases: at first, extraction, or segmentation, of each person in input multiview images; then, posture analysis for one person is applied to the segmented region of each person. The segmentation is realized in the voxel space, which is reconstructed by visual cone intersection of multiview silhouettes. Here, a graph cut algorithm is employed to achieve optimal segmentation. Posture analysis is based on a model-based approach, where a skeleton model of human figure is matched with the multiview silhouettes based on a particle filter and physical constraints on human body movement. Several experimental studies show that the proposed method acquires human postures of multiple people correctly and efficiently even when they touch each otter.

本文言語英語
ホスト出版物のタイトルImage Analysis and Processing - ICIAP 2009 - 15th International Conference, Proceedings
ページ451-460
ページ数10
DOI
出版ステータス出版済み - 2009
イベント15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings - Vietri sul Mare, イタリア
継続期間: 9月 8 20099月 11 2009

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5716 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings
国/地域イタリア
CityVietri sul Mare
Period9/8/099/11/09

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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