3D global trajectory and multi-view local motion combined player action recognition in volleyball analysis

Yang Liu*, Shuyi Huang, Xina Cheng, Takeshi Ikenaga


研究成果: Conference contribution

1 被引用数 (Scopus)


Volleyball video analysis is important for developing applications such as player evaluation system or tactic analysis system. Among its different topics, player action recognition serves as an elementary building brick for understanding player’s behavior. Most conventional player action recognition methods have limits in real volleyball game due to the occlusion and intra-class variation problems. This paper proposes a 3D global trajectory and multi-view local motion combined volleyball player action recognition method. 3D global trajectory extracts global motion feature through 3D trajectories, which hides the unstable and incomplete 2D motion feature caused by the above problems. Multi-view local motion gets detailed local motion feature of arms and legs in multiple viewpoints and removes clutter features caused by occlusion problem. Through the combination, global 3D feature and local motion feature mutually promote each other and the actions are recognized well. Experiments are conducted on game videos from the Semifinal and Final Game of 2014 Japan Inter High School Games of Men’s Volleyball in Tokyo Metropolitan Gymnasium. The experiments show the combing result accuracy achieves 98.39%, 95.50%, 96.86%, 96.98% for spike, block, receive, toss respectively and improve 11.33% averagely than the sing-view local motion based result.

ホスト出版物のタイトルAdvances in Multimedia Information Processing – PCM 2018 - 19th Pacific-Rim Conference on Multimedia, 2018, Proceedings
編集者Chong-Wah Ngo, Toshihiko Yamasaki, Richang Hong, Meng Wang, Wen-Huang Cheng
出版社Springer Verlag
出版ステータスPublished - 2018
イベント19th Pacific-Rim Conference on Multimedia, PCM 2018 - Hefei, China
継続期間: 2018 9月 212018 9月 22


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11166 LNCS


Other19th Pacific-Rim Conference on Multimedia, PCM 2018

ASJC Scopus subject areas

  • 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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