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

Xina Cheng, Masaaki Honda, Norikazu Ikoma, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1501-1505
Number of pages5
Volume2016-May
ISBN (Electronic)9781479999880
DOIs
Publication statusPublished - 2016 May 18
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
Duration: 2016 Mar 202016 Mar 25

Other

Other41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
CountryChina
CityShanghai
Period16/3/2016/3/25

Fingerprint

Sports
Cameras
Recovery
High definition television

Keywords

  • automatic recovery
  • multi-view ball tracking
  • occlusion
  • Sports analysis

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

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

Anti-occlusion observation model and automatic recovery for multi-view ball tracking in sports analysis. / Cheng, Xina; Honda, Masaaki; Ikoma, Norikazu; Ikenaga, Takeshi.

2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. p. 1501-1505 7471927.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cheng, X, Honda, M, Ikoma, N & Ikenaga, T 2016, Anti-occlusion observation model and automatic recovery for multi-view ball tracking in sports analysis. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. vol. 2016-May, 7471927, Institute of Electrical and Electronics Engineers Inc., pp. 1501-1505, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 16/3/20. https://doi.org/10.1109/ICASSP.2016.7471927
Cheng X, Honda M, Ikoma N, Ikenaga T. Anti-occlusion observation model and automatic recovery for multi-view ball tracking in sports analysis. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1501-1505. 7471927 https://doi.org/10.1109/ICASSP.2016.7471927
Cheng, Xina ; Honda, Masaaki ; Ikoma, Norikazu ; Ikenaga, Takeshi. / 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. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1501-1505
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