Motion vector and players’ features based particle filter for volleyball players tracking in 3D space

Xizhou Zhuang, Xina Cheng, Shuyi Huang, Masaaki Honda, Takeshi Ikenaga

研究成果: Conference article査読

3 被引用数 (Scopus)

抄録

Multiple players tracking plays a key role in volleyball analysis. Due to the demand of developing effective tactics for professional events, players’ 3D information like speed and trajectory is needed. Although, 3D information can solve the occlusion relation problem, complete occlusion and similar feature between players may still reduce the accuracy of tracking. Thus, this paper proposes a motion vector and players’ features based particle filter for multiple players tracking in 3D space. For the prediction part, a motion vector prediction model combined with Gaussian window model is proposed to predict player’s position after occlusion. For the likelihood estimation part, a 3D distance likelihood model is proposed to avoid error tracking between two players. Also, a number detection likelihood model is used to distinguish players. With the proposed multiple players tracking algorithm, not only occlusion relation problem can be solved, but also physical features of players in the real world can be obtained. Experiment which executed on an official volleyball match video (Final Game of 2014 Japan Inter High School Games of Men’s Volleyball in Tokyo Metropolitan Gymnasium) shows that our tracking algorithm can achieve 91.9 % and 92.6 % success rate in the first and third set.

本文言語English
ページ(範囲)393-401
ページ数9
ジャーナルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9314
DOI
出版ステータスPublished - 2015
イベント16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
継続期間: 2015 9月 162015 9月 18

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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