Article

Distributed real-time soccer tracking

Authors:

Bruno Müller, Junior,

Ricardo de Oliveira AnidoAuthors Info & Claims

VSSN '04: Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks

Pages 97 - 103

https://doi.org/10.1145/1026799.1026816

Published: 15 October 2004 Publication History

Abstract

Tracking objects that take part in sportive events is a challenging task because the objects move fast and occlusions occur frequently. When the tracked area is large, the use of more than one high resolution cameras improve accuracy, but leads to a huge amount of data to be processed and fused. The cameras are usually placed to maximize the covering area, and thus the tracked objects are small, usually 10 to 40 pixels height. This paper presents a new approach to this kind of application, where the tracking procedures are not applied to the whole images, but to small images taken from the cameras. Given a specific location of the tracked area, the system is able to return a set of small images (say 60x60 pixels) centered on that location, one from each camera, and the tracking procedures are applied to these images. Each object can be tracked individually by an independent module of the system, and each module can apply different tracking techniques depending on specific visual characteristics. The paper describes a real-time distributed implementation of such system, and presents a new mechanism to detect objects in small images using a gradient reference frame.

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Cited By

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
Clemente FSequeiros JCorreia ASilva FMartins FClemente FSequeiros JCorreia ASilva FMartins F(2017)How to Use the Dots to Analyze the Behavior and the Collective OrganizationComputational Metrics for Soccer Analysis10.1007/978-3-319-59029-5_2(7-13)Online publication date: 24-Oct-2017
https://doi.org/10.1007/978-3-319-59029-5_2
SABIRIN HSANKOH HNAITO S(2015)Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute MatchingIEICE Transactions on Information and Systems10.1587/transinf.2014EDP7313E98.D:8(1580-1588)Online publication date: 2015
https://doi.org/10.1587/transinf.2014EDP7313
Show More Cited By

Index Terms

Distributed real-time soccer tracking
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding
        Video summarization

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Published In

cover image ACM Conferences

VSSN '04: Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks

October 2004

152 pages

ISBN:1581139349

DOI:10.1145/1026799

Conference Chairs:
Edward Chang
University of California, Santa Barbara
,
Yuan-Fang Wang
University of California, Santa Barbara
,
Feng Zhao
Microsoft Research

Copyright © 2004 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2004

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MM04

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MM04: 2004 12th Annual ACM International Conference on Multimedia

October 15, 2004

NY, New York, USA

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Cited By

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
Clemente FSequeiros JCorreia ASilva FMartins FClemente FSequeiros JCorreia ASilva FMartins F(2017)How to Use the Dots to Analyze the Behavior and the Collective OrganizationComputational Metrics for Soccer Analysis10.1007/978-3-319-59029-5_2(7-13)Online publication date: 24-Oct-2017
https://doi.org/10.1007/978-3-319-59029-5_2
SABIRIN HSANKOH HNAITO S(2015)Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute MatchingIEICE Transactions on Information and Systems10.1587/transinf.2014EDP7313E98.D:8(1580-1588)Online publication date: 2015
https://doi.org/10.1587/transinf.2014EDP7313
Natarajan PAtrey PKankanhalli M(2015)Multi-Camera Coordination and Control in Surveillance SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/271012811:4(1-30)Online publication date: 2-Jun-2015
https://dl.acm.org/doi/10.1145/2710128
Kasuya NKitahara IKameda YOhta Ydel Bimbo AChang SSmeulders A(2010)Real-time soccer player tracking method by utilizing shadow regionsProceedings of the 18th ACM international conference on Multimedia10.1145/1873951.1874211(1319-1322)Online publication date: 25-Oct-2010
https://dl.acm.org/doi/10.1145/1873951.1874211
Liu GTang XCheng HHuang JLiu J(2009)A novel approach for tracking high speed skaters in sports using a panning cameraPattern Recognition10.1016/j.patcog.2009.03.02242:11(2922-2935)Online publication date: 1-Nov-2009
https://dl.acm.org/doi/10.1016/j.patcog.2009.03.022

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