Anti-occlusion observation model and automatic recovery for multi-view ball tracking in sports analysis

Xina Cheng, Masaaki Honda, Norikazu Ikoma, Takeshi Ikenaga

研究成果: Conference contribution

10 引用 (Scopus)

抜粋

The 3D position of the ball plays a crucial role in professional sport analysis. In ball sports, tracking of ball's precise position accurately is highly required, whose performance is affected by inaccurate 3D coordinates and occlusion problem. In this paper, we propose anti-occlusion observation model and automatic recovery by 3D ball detection based on multiview videos to track the ball in 3D space. The anti-occlusion observation model evaluates each camera's image and eliminates the influence of the cameras in which the ball is occluded. The automatic recovery method detects the ball's 3D position by homography relation of the multi-video and generates a new distribution to initiate the tracker when tracking failure is detected. Experimental results based on the HDTV video sequences, which were captured by four cameras located at the corners of the court, show that the success rate of the 3D ball tracking achieves 99.14%.

元の言語English
ホスト出版物のタイトル2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1501-1505
ページ数5
2016-May
ISBN(電子版)9781479999880
DOI
出版物ステータスPublished - 2016 5 18
イベント41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
継続期間: 2016 3 202016 3 25

Other

Other41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
China
Shanghai
期間16/3/2016/3/25

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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  • これを引用

    Cheng, X., Honda, M., Ikoma, N., & Ikenaga, T. (2016). Anti-occlusion observation model and automatic recovery for multi-view ball tracking in sports analysis. : 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (巻 2016-May, pp. 1501-1505). [7471927] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2016.7471927