Player tracking using prediction after intersection based particle filter for volleyball match video

Xina Cheng, Yuhi Shiina, Xizhou Zhuang, Takeshi Ikenaga

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

Player tracking plays a key role in volleyball tactics analysis. Therefore, many tracking algorithms have been proposed to track and locate the players' positions. However, in a volleyball match, intersection of players wearing the same uniform occurs frequently. Conventional tracking algorithms can hardly handle such complicated situation with high accuracy. This paper proposes a prediction after intersection based Particle Filter to track players distinctively in intersection events of volleyball. As for likelihood models in the proposed particle filter, a labeling likelihood to distinguish each tracking object and a distance likelihood to prevent particles from concentrating in only one tracking object are employed. As for prediction models, two re-detection models, Crash Pattern Model (CPM) and Others Pattern Model (OPM), are used to detect each tracking object after intersection. Experimental results reveal that the proposed algorithm attains high tracking accuracy for various kinds of intersection scenes. The tracking accuracy of player using whole scenes of a volleyball match is around 80% while conventional method is only 30%.

本文言語English
ホスト出版物のタイトル2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷版)9786163618238
DOI
出版ステータスPublished - 2014 2 12
イベント2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
継続期間: 2014 12 92014 12 12

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
国/地域Thailand
CityChiang Mai
Period14/12/914/12/12

ASJC Scopus subject areas

  • 信号処理
  • 情報システム

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