Article

Soccer video analysis by ball, player and referee tracking

Authors:

Wayne Chelliah Naidoo,

Jules Raymond TapamoAuthors Info & Claims

SAICSIT '06: Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries

Pages 51 - 60

https://doi.org/10.1145/1216262.1216268

Published: 09 October 2006 Publication History

Abstract

Soccer ball detection and tracking plays a pivotal role in soccer event detection. In fact, all events in the game take place around the ball, and it is crucial to track the movement of the ball, players of both teams as well as the referee in order to perform analysis of the match both real-time and post match. A ball, player and referee detection, classification and tracking; team identification, and a field extraction approach is proposed in this paper. A higher level automatic offside event (OE) detection method is also proposed. The principle constraint considered during the development of the system was that the pattern recognition techniques had to be computationally efficient in terms of processing time. The system developed is a non-invasive vision-based decision support tool, capable of providing real-time analysis of a soccer match, including assisting the referee in making a decision concerning the offside rule.

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Cited By

Manafifard M(2023)A review on camera calibration in soccer videosMultimedia Tools and Applications10.1007/s11042-023-16145-883:6(18427-18458)Online publication date: 17-Jul-2023
https://doi.org/10.1007/s11042-023-16145-8
Naik BHashmi MBokde N(2022)A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research DirectionsApplied Sciences10.3390/app1209442912:9(4429)Online publication date: 27-Apr-2022
https://doi.org/10.3390/app12094429
AMİRLİ AALEMDAR H(2022)Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking DataAcademic Platform Journal of Engineering and Smart Systems10.21541/apjess.106072510:1(1-8)Online publication date: 1-Jan-2022
https://doi.org/10.21541/apjess.1060725
Show More Cited By

Index Terms

Soccer video analysis by ball, player and referee tracking
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
      2. Computer vision tasks
        Scene understanding
  2. Machine learning
2. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Published In

cover image ACM Other conferences

SAICSIT '06: Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries

October 2006

276 pages

ISBN:1595935673

Editors:
Judith Bishop
University of Pretoria, Pretoria
,
Derrick Kourie
University of Pretoria, Pretoria

Publisher

South African Institute for Computer Scientists and Information Technologists

South Africa

Publication History

Published: 09 October 2006

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SAICSIT '06

SAICSIT '06: IT research in developing countries

October 9 - 11, 2006

Somerset West, South Africa

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SAICSIT '06 Paper Acceptance Rate 29 of 61 submissions, 48%;

Overall Acceptance Rate 187 of 439 submissions, 43%

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Cited By

Manafifard M(2023)A review on camera calibration in soccer videosMultimedia Tools and Applications10.1007/s11042-023-16145-883:6(18427-18458)Online publication date: 17-Jul-2023
https://doi.org/10.1007/s11042-023-16145-8
Naik BHashmi MBokde N(2022)A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research DirectionsApplied Sciences10.3390/app1209442912:9(4429)Online publication date: 27-Apr-2022
https://doi.org/10.3390/app12094429
AMİRLİ AALEMDAR H(2022)Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking DataAcademic Platform Journal of Engineering and Smart Systems10.21541/apjess.106072510:1(1-8)Online publication date: 1-Jan-2022
https://doi.org/10.21541/apjess.1060725
Rahimian PToka L(2022)Optical tracking in team sportsJournal of Quantitative Analysis in Sports10.1515/jqas-2020-008818:1(35-57)Online publication date: 7-Mar-2022
https://doi.org/10.1515/jqas-2020-0088
Spagnolo PMazzeo PLeo MNitti MStella EDistante A(2015)On-Field Testing and Evaluation of a Goal-Line Technology SystemComputer Vision in Sports10.1007/978-3-319-09396-3_4(67-90)Online publication date: 20-Jan-2015
https://doi.org/10.1007/978-3-319-09396-3_4
Dixit MBhatnagar C(2014)A novel approach to detect fours in cricket videos2014 International Conference on Computer and Communication Technology (ICCCT)10.1109/ICCCT.2014.7001510(307-311)Online publication date: Sep-2014
https://doi.org/10.1109/ICCCT.2014.7001510
Hanzra BRossi R(2013)Automatic cameraman for dynamic video acquisition of football match2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013)10.1109/ICIIP.2013.6707571(142-147)Online publication date: Dec-2013
https://doi.org/10.1109/ICIIP.2013.6707571
D'Orazio TLeo M(2010)A review of vision-based systems for soccer video analysisPattern Recognition10.1016/j.patcog.2010.03.00943:8(2911-2926)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1016/j.patcog.2010.03.009
Pazouki ERahmati M(2009)A novel multimedia data mining framework for information extraction of a soccer video streamIntelligent Data Analysis10.5555/1662565.166257413:5(833-857)Online publication date: 1-Oct-2009
https://dl.acm.org/doi/10.5555/1662565.1662574

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