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Goal Detection in Soccer Video: Role-Based Events Detection Approach.

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Title: Goal Detection in Soccer Video: Role-Based Events Detection Approach.
Authors: Bayat, Farshad1 farshad.bayat@qiau.ac.ir, Moin, Mohammad Shahram1, Bayat, Farhad2
Source: International Journal of Electrical & Computer Engineering (2088-8708). Dec2014, Vol. 4 Issue 6, p979-988. 10p.
Subjects: Video processing, Failure Analysis System (Computer system), Soccer fans, Audiovisual materials
Abstract: Soccer video processing and analysis to find critical events such as occurrences of goal event have been one of the important issues and topics of active researches in recent years. In this paper, a new role-based framework is proposed for goal event detection in which the semantic structure of soccer game is used. Usually after a goal scene, the audiences' and reporters' sound intensity is increased, ball is sent back to the center and the camera may: zoom on Player, show audiences' delighting, repeat the goal scene or display a combination of them. Thus, the occurrence of goal event will be detectable by analysis of sequences of above roles. The proposed framework in this paper consists of four main procedures: 1- detection of game's critical events by using audio channel, 2- detection of shot boundary and shots classification, 3- selection of candidate events according to the type of shot and existence of goalmouth in the shot, 4- detection of restarting the game from the center of the field. A new method for shot classification is also presented in this framework. Finally, by applying the proposed method it was shown that the goal events detection has a good accuracy and the percentage of detection failure is also very low. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 119178135
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PubTypeId: academicJournal
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  Data: Goal Detection in Soccer Video: Role-Based Events Detection Approach.
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  Data: <searchLink fieldCode="AR" term="%22Bayat%2C+Farshad%22">Bayat, Farshad</searchLink><relatesTo>1</relatesTo><i> farshad.bayat@qiau.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Moin%2C+Mohammad+Shahram%22">Moin, Mohammad Shahram</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bayat%2C+Farhad%22">Bayat, Farhad</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Dec2014, Vol. 4 Issue 6, p979-988. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Video+processing%22">Video processing</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+Analysis+System+%28Computer+system%29%22">Failure Analysis System (Computer system)</searchLink><br /><searchLink fieldCode="DE" term="%22Soccer+fans%22">Soccer fans</searchLink><br /><searchLink fieldCode="DE" term="%22Audiovisual+materials%22">Audiovisual materials</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Soccer video processing and analysis to find critical events such as occurrences of goal event have been one of the important issues and topics of active researches in recent years. In this paper, a new role-based framework is proposed for goal event detection in which the semantic structure of soccer game is used. Usually after a goal scene, the audiences' and reporters' sound intensity is increased, ball is sent back to the center and the camera may: zoom on Player, show audiences' delighting, repeat the goal scene or display a combination of them. Thus, the occurrence of goal event will be detectable by analysis of sequences of above roles. The proposed framework in this paper consists of four main procedures: 1- detection of game's critical events by using audio channel, 2- detection of shot boundary and shots classification, 3- selection of candidate events according to the type of shot and existence of goalmouth in the shot, 4- detection of restarting the game from the center of the field. A new method for shot classification is also presented in this framework. Finally, by applying the proposed method it was shown that the goal events detection has a good accuracy and the percentage of detection failure is also very low. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.11591/ijece.v4i6.6377
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 979
    Subjects:
      – SubjectFull: Video processing
        Type: general
      – SubjectFull: Failure Analysis System (Computer system)
        Type: general
      – SubjectFull: Soccer fans
        Type: general
      – SubjectFull: Audiovisual materials
        Type: general
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      – TitleFull: Goal Detection in Soccer Video: Role-Based Events Detection Approach.
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            – D: 01
              M: 12
              Text: Dec2014
              Type: published
              Y: 2014
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