3D pose reconstruction with multi-perspective and spatial confidence point group for jump analysis in figure skating

L. Tian, X. Cheng, M. Honda, T. Ikenaga

研究成果: Conference contribution

抄録

Driven by recent computer vision applications, recovering 3D pose in the field of figure skating has become increasingly important. However, conventional works have suffered because of getting 3D information based on the corresponding 2D information directly or leaving the specificity of sports out of consideration. Issues such as restriction from self-occlusion, abnormal pose, limitation of venue and so on will result in poor results. Motivated by these problems, this paper proposes a multitask architecture based on a calibrated multi-camera system to facilitate jointly 3D jump pose of figure skater in the presence of the 2D Part Confidence Map. The proposals consist of three key components: Temporal smoothness and likelihood distribution based discrete probability points selection; Multi-perspective and combinations unification based large-scale venue 3D reconstruction; Spatial confidence point group and multiple constraints based human skeleton estimation. This work can be applied to 3D animated display and video motion capture of figure skating competition. The accuracy rate on the test sequences is 82.32% in body level and 92.96% in joint level.

本文言語English
ホスト出版物のタイトルFifth International Workshop on Pattern Recognition
編集者Xudong Jiang, Chuan Zhang, Yinglei Song
出版社SPIE
ISBN(電子版)9781510638631
DOI
出版ステータスPublished - 2020
イベント5th International Workshop on Pattern Recognition, IWPR 2020 - Chengdu, China
継続期間: 2020 6 52020 6 7

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
11526
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

Conference

Conference5th International Workshop on Pattern Recognition, IWPR 2020
国/地域China
CityChengdu
Period20/6/520/6/7

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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