Article

Trajectory Analysis for Soccer Players

Authors:

Chan-Hyun Kang,

Jung-Rae Hwang,

Ki-Joune LiAuthors Info & Claims

ICDMW '06: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops

Pages 377 - 381

https://doi.org/10.1109/ICDMW.2006.160

Published: 18 December 2006 Publication History

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Abstract

In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful information by analyzing the trajectories of moving objects, which consist of 22 players and a ball. Since each moving object interacts with others and produces a trajectory, its trajectory has a certain number of relationships with others, which are a basic type of information to make soccer strategies. In this paper, we propose a model to quantitatively express the performance of soccer players. This model is based on the relationships between trajectories of 22 players and a ball and allows to evaluate the performance of several players in quantitative way.

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Ryoo MKim NPark K(2018)Visual analysis of soccer players and a teamMultimedia Tools and Applications10.1007/s11042-017-5137-477:12(15603-15623)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s11042-017-5137-4
Chawla SEstephan JGudmundsson JHorton M(2017)Classification of Passes in Football Matches Using Spatiotemporal DataACM Transactions on Spatial Algorithms and Systems10.1145/31055763:2(1-30)Online publication date: 10-Aug-2017
https://dl.acm.org/doi/10.1145/3105576
Yang YWang XZhao DJain RJiang SSmith JSang JLi G(2015)Attack trajectory extraction based on focus player detection in broadcast sports videosProceedings of the 7th International Conference on Internet Multimedia Computing and Service10.1145/2808492.2808549(1-6)Online publication date: 19-Aug-2015
https://dl.acm.org/doi/10.1145/2808492.2808549
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Trajectory Analysis for Soccer Players
1. Computing methodologies

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ICDMW '06: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops

December 2006

876 pages

ISBN:0769527027

Publisher

IEEE Computer Society

United States

Publication History

Published: 18 December 2006

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Ryoo MKim NPark K(2018)Visual analysis of soccer players and a teamMultimedia Tools and Applications10.1007/s11042-017-5137-477:12(15603-15623)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s11042-017-5137-4
Chawla SEstephan JGudmundsson JHorton M(2017)Classification of Passes in Football Matches Using Spatiotemporal DataACM Transactions on Spatial Algorithms and Systems10.1145/31055763:2(1-30)Online publication date: 10-Aug-2017
https://dl.acm.org/doi/10.1145/3105576
Yang YWang XZhao DJain RJiang SSmith JSang JLi G(2015)Attack trajectory extraction based on focus player detection in broadcast sports videosProceedings of the 7th International Conference on Internet Multimedia Computing and Service10.1145/2808492.2808549(1-6)Online publication date: 19-Aug-2015
https://dl.acm.org/doi/10.1145/2808492.2808549
Gudmundsson JWolle TCruz IKnoblock CKröger PTanin EWidmayer P(2012)Football analysis using spatio-temporal toolsProceedings of the 20th International Conference on Advances in Geographic Information Systems10.1145/2424321.2424417(566-569)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2424321.2424417
Niu ZTian QGao Xdel Bimbo AChang SSmeulders A(2010)Real-world trajectory extraction for attack pattern analysis in soccer videoProceedings of the 18th ACM international conference on Multimedia10.1145/1873951.1874039(635-638)Online publication date: 25-Oct-2010
https://dl.acm.org/doi/10.1145/1873951.1874039
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
Ma HTsai TLiu C(2010)Real-time monitoring of water quality using temporal trajectory of live fishExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.12.07637:7(5158-5171)Online publication date: 1-Jul-2010
https://dl.acm.org/doi/10.1016/j.eswa.2009.12.076
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
Zhu GXu CZhang YHuang QLu HLuo JGuan LHanjalic AKankanhalli MLee I(2008)Event tactic analysis based on player and ball trajectory in broadcast videoProceedings of the 2008 international conference on Content-based image and video retrieval10.1145/1386352.1386418(515-524)Online publication date: 7-Jul-2008
https://dl.acm.org/doi/10.1145/1386352.1386418
Zhu GHuang QXu CRui YJiang SGao WYao HLienhart RPrasad AHanjalic AChoi SBailey BSebe N(2007)Trajectory based event tactics analysis in broadcast sports videoProceedings of the 15th ACM international conference on Multimedia10.1145/1291233.1291250(58-67)Online publication date: 29-Sep-2007
https://dl.acm.org/doi/10.1145/1291233.1291250

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Energy-Motion Features Aggregation Network for Players’ Fine-Grained Action Analysis in Soccer Videos