research-article

Event tactic analysis based on player and ball trajectory in broadcast video

Authors:

Qingming Huang,

Hanqing LuAuthors Info & Claims

CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

Pages 515 - 524

https://doi.org/10.1145/1386352.1386418

Published: 07 July 2008 Publication History

Abstract

Most of existing approaches on sports video analysis are concentrated on semantic event detection which is general audience oriented and the extracted events are presented to the audience without further analysis from tactic perspective. In this paper, we propose a novel approach to extract the tactic information and recognize the tactic patterns from goal events in broadcast soccer video. We extract the goal events with far-view shots using the analysis and alignment of web-casting text and broadcast video. For a detected goal event, a multi-object detection and tracking algorithm is employed to obtain the players and ball trajectories. An effective tactic representation called aggregate trajectory are constructed based on multi-object trajectories using a novel analysis of temporal-spatial interaction among the players and ball. The interactive relationship of aggregate trajectory and the hypothesis testing of the trajectory temporal-spatial distribution are employed to discover the tactic patterns in a hierarchical coarse-to-fine framework. The experimental results on FIFA World Cup 2006 show that the proposed approach is more effective than our previous work.

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Cited By

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
Kamble PKeskar ABhurchandi K(2017)Ball tracking in sports: a surveyArtificial Intelligence Review10.1007/s10462-017-9582-2Online publication date: 16-Oct-2017
https://doi.org/10.1007/s10462-017-9582-2
Siles FSaborio J(2015)Parallel spatial segmentation for the automated analysis of football2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)10.1109/IWOBI.2015.7160140(33-38)Online publication date: Jun-2015
https://doi.org/10.1109/IWOBI.2015.7160140
Show More Cited By

Index Terms

Event tactic analysis based on player and ball trajectory in broadcast video
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Animation
      1. Motion capture
      2. Motion processing

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cover image ACM Conferences

CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

July 2008

674 pages

ISBN:9781605580708

DOI:10.1145/1386352

General Chairs:
Jiebo Luo
Kodak Research Laboratories
,
Ling Guan
Ryerson University
,
Program Chairs:
Alan Hanjalic
Delft University of Technology
,
Mohan Kankanhalli
National University of Singapore
,
Ivan Lee
University of South Australia

Copyright © 2008 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]

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Publication History

Published: 07 July 2008

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CIVR08

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CIVR08: CIVR'08 - International Conference on Content-based Image and Video Retrieval

July 7 - 9, 2008

Niagara Falls, Canada

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Cited By

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
Kamble PKeskar ABhurchandi K(2017)Ball tracking in sports: a surveyArtificial Intelligence Review10.1007/s10462-017-9582-2Online publication date: 16-Oct-2017
https://doi.org/10.1007/s10462-017-9582-2
Siles FSaborio J(2015)Parallel spatial segmentation for the automated analysis of football2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)10.1109/IWOBI.2015.7160140(33-38)Online publication date: Jun-2015
https://doi.org/10.1109/IWOBI.2015.7160140
Oskouie PAlipour SEftekhari-Moghadam A(2014)Multimodal feature extraction and fusion for semantic mining of soccer videoArtificial Intelligence Review10.1007/s10462-012-9332-442:2(173-210)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.1007/s10462-012-9332-4
Yeh CTseng WLin YTeng C(2012)Extracting Sport Video SemanticsIntelligent Multimedia Databases and Information Retrieval10.4018/978-1-61350-126-9.ch008(121-134)Online publication date: 2012
https://doi.org/10.4018/978-1-61350-126-9.ch008
Chen HChou CFu TLee SLin B(2012)Recognizing tactic patterns in broadcast basketball video using player trajectoryJournal of Visual Communication and Image Representation10.1016/j.jvcir.2012.06.00323:6(932-947)Online publication date: 1-Aug-2012
https://dl.acm.org/doi/10.1016/j.jvcir.2012.06.003
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
Chu WTsai W(2010)Modeling spatiotemporal relationships between moving objects for event tactics analysis in tennis videosMultimedia Tools and Applications10.1007/s11042-009-0363-z50:1(149-171)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1007/s11042-009-0363-z
Ding YFan GScherp AJain RKankanhalli M(2009)Event detection in sports video based on generative-discriminative modelsProceedings of the 1st ACM international workshop on Events in multimedia10.1145/1631024.1631030(17-24)Online publication date: 23-Oct-2009
https://dl.acm.org/doi/10.1145/1631024.1631030
Leo MD'Orazio TTrivedi M(2009)A multi camera system for soccer player performance evaluation2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)10.1109/ICDSC.2009.5289343(1-8)Online publication date: Aug-2009
https://doi.org/10.1109/ICDSC.2009.5289343

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