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

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)393-401
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2015
Event16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
Duration: 2015 Sept 162015 Sept 18


  • 3D space
  • Multiple players tracking
  • Particle filter
  • Volleyball

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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