Article

Camera-based observation of football games for analyzing multi-agent activities

Authors:

Nico v. Hoyningen-Huene,

Bernhard Kirchlechner,

Alexis MaldonadoAuthors Info & Claims

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

Pages 42 - 49

https://doi.org/10.1145/1160633.1160638

Published: 08 May 2006 Publication History

Abstract

This paper describes a camera-based observation system for football games that is used for the automatic analysis of football games and reasoning about multi-agent activity. The observation system runs on video streams produced by cameras set up for TV broadcasting. The observation system achieves reliability and accuracy through various mechanisms for adaptation, probabilistic estimation, and exploiting domain constraints. It represents motions compactly and segments them into classified ball actions.

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Cited By

Radke DOrchard AAgmon NAn BRicci AYeoh W(2023)Presenting Multiagent Challenges in Team Sports AnalyticsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598839(1781-1785)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.5555/3545946.3598839
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
Cuevas CQuilón DGarcía N(2020)Techniques and applications for soccer video analysis: A surveyMultimedia Tools and Applications10.1007/s11042-020-09409-0Online publication date: 12-Aug-2020
https://doi.org/10.1007/s11042-020-09409-0
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Published In

cover image ACM Conferences

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

May 2006

1631 pages

ISBN:1595933034

DOI:10.1145/1160633

General Chairs:
Hideyuki Nakashima
Future University - Hakodate, Japan
,
Michael Wellman
University of Michigan
,
Program Chairs:
Gerhard Weiss
Technical University Munich, Germany
,
Peter Stone
The University of Texas at Austin

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

IFMAS: The International Foundation for Multiagent Systems
SIGAI: ACM Special Interest Group on Artificial Intelligence
ATAL: The International Workshop on Agent Theories, Architectures, and Languages

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2006

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AAMAS06

Sponsor:

IFMAS
SIGAI
ATAL

AAMAS06: AAMAS '06 - 5th International Joint Conference on Autonomous Agents and Multi-agent Systems 2006

May 8 - 12, 2006

Japan, Hakodate

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

Radke DOrchard AAgmon NAn BRicci AYeoh W(2023)Presenting Multiagent Challenges in Team Sports AnalyticsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598839(1781-1785)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.5555/3545946.3598839
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
Cuevas CQuilón DGarcía N(2020)Techniques and applications for soccer video analysis: A surveyMultimedia Tools and Applications10.1007/s11042-020-09409-0Online publication date: 12-Aug-2020
https://doi.org/10.1007/s11042-020-09409-0
Atrish ASingh NKumar KKumar V(2017)An Automated Hierarchical Framework for Player Recognition in Sports ImageProceedings of the International Conference on Video and Image Processing10.1145/3177404.3177432(103-108)Online publication date: 27-Dec-2017
https://dl.acm.org/doi/10.1145/3177404.3177432
Manafifard MEbadi HMoghaddam H(2017)Appearance-based multiple hypothesis trackingImage Communication10.1016/j.image.2017.04.00155:C(157-170)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.image.2017.04.001
Manafifard MEbadi HMoghaddam H(2017)Multi-player detection in soccer broadcast videos using a blob-guided particle swarm optimization methodMultimedia Tools and Applications10.1007/s11042-016-3625-676:10(12251-12280)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11042-016-3625-6
Soomro KKhokhar SShah M(2015)Tracking When the Camera Looks AwayProceedings of the 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2015.101(742-750)Online publication date: 7-Dec-2015
https://dl.acm.org/doi/10.1109/ICCVW.2015.101
Banerjee BLyle JKraemer L(2015)The complexity of multi-agent plan recognitionAutonomous Agents and Multi-Agent Systems10.1007/s10458-014-9248-229:1(40-72)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1007/s10458-014-9248-2
Schropp GMeyer JRamamoorthy S(2015)A Formalization of the Coach ProblemApplied Cryptography and Network Security10.1007/978-3-319-18615-3_28(345-357)Online publication date: 12-May-2015
https://doi.org/10.1007/978-3-319-18615-3_28
Hamid RKumar RHodgins JEssa I(2014)A visualization framework for team sports captured using multiple static camerasComputer Vision and Image Understanding10.1016/j.cviu.2013.09.006118(171-183)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1016/j.cviu.2013.09.006
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