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- Vol. 4 Issue 5
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Detection of Cricket Shots Using Deep Learning
Authors
12345Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi-110063,India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 5 (2023)
- Published Online
- September-October 2023
- Pages
- 30-38
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
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Proceedings of the International Conference on Applied and Engineering Mathematics(ICAEM),Taxila,Pakistan,4–5
September2018;pp.67–71.[CrossRef]
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2nd International Conference on Computing Technology and Information Management(ICCTIM), Johor, Malaysia, 21–23 April
2015; pp. 125–129.[Cross Ref]
3. Khan, A.; Nicholson, J.; Plötz, T. Activity recognition for qualit yassessmentofbatting
shotsincricketusingahierarchicalrepresentation.Proc.ACMInteract.Mob.WearableUbiquitousTechnol.2017,1,1–31.[CrossRef]
4. Foysal, M.F.A.; Islam, M.S.; Karim, A.; Neehal, N. Shot-Net: A convolutional neural network for classifying differentcricket shots.
In International Conference on Recent Trends inImage Processing and Pattern Recognition; Springer:Berlin,Germany,2018;pp.111–120.
5. Semwal, A.; Mishra, D.; Raj, V.; Sharma, J.; Mittal, A.Cricket shot detection from videos. In Proceedings of the 9thInternational
Conference on Computing, Communication andNetworking Technologies(ICCCNT),Bengaluru,India,10–12 July 2018; pp. 1–6.
[CrossRef] Sensors 2021, 21, 2846 19of19
6. Harikrishna,N.;Satheesh,S.;Sriram,S.D.;Easwarakumar, K. Temporal classification of events in
cricketvideos.InProceedingsoftheSeventeenthNationalConference on Communications (NCC), Bangalore, India, 28–30
January2011;pp. 1–5.[CrossRef]
7. Kolekar, M.H.; Palaniappan, K.; Sengupta, S.
Semanticeventdetectionandclassificationincricketvideosequence.InProceedingsoftheSixthIndianConferenceonComputerVision,Grap
hics&ImageProcessing,Bhubaneswar,India,16–19 December 2008;pp.382–389.[CrossRef]
8. Premaratne, S.; Jayaratne, K. Structural approach for
eventresolutionincricketvideos.InProceedingsoftheInternationalConferenceonVideoandImageProcessing,Singapore,27–29
December2017;pp.161–166.[CrossRef]
9. Javed,A.;Bajwa,K.B.;Malik,H.;Irtaza,A.;Mahmood,
10. M.T.A hybrid approach for summarization of cricket videos.InProceedingsoftheIEEEInternationalConferenceonConsumer
Electronics-Asia (ICCE-Asia), Seoul, Korea, 26–28October 2016;pp. 1–4.[CrossRef]
11. Kolekar, M.H.; Sengupta, S. Semantic concept mining incricket videos for automated highlight generation. Multimed.ToolsAppl.
2010,47,545–579. [CrossRef]
12. Bhalla, A.; Ahuja, A.; Pant, P.; Mittal, A. A
MultimodalApproachforAutomaticCricketVideoSummarization.InProceedingsofthe6thInternationalConferenceonSignalProcessinga
ndIntegratedNetworks(SPIN),Noida,UttarPradesh,India,7–8 March2019;pp.146–150.[CrossRef]
13. Tang, H.; Kwatra, V.; Sargin, M.E.; Gargi, U.
Detectinghighlightsinsportsvideos:Cricketasatestcase.InProceedingsoftheIEEEInternationalConferenceonMultimedia and Expo
(ICME), Barcelona, Spain, 11–15 July2011;pp.1–6.[CrossRef]
14. Kumar, Y.S.; Gupta, S.K.; Kiran, B.R.; Ramakrishnan,K.; Bhattacharyya, C. Automatic summarization of broadcastcricket videos.
In Proceedings of the IEEE 15th InternationalSymposium on Consumer Electronics (ISCE), Singapore, 14–17 June 2011;pp.222–
225. [CrossRef]
15. Ramsaran, M.; Pooransingh, A.; Singh, A.
AutomatedHighlightGenerationfromCricketBroadcastVideo.InProceedingsofthe8thInternationalConferenceon
ComputationalIntelligenceandCommunicationNetworks(CICN), Tehri, India, 23–25 December 2016; pp. 251–255.[CrossRef]
16. Ringis,D.;Pooransingh,A.Automatedhighlightgeneration from cricket broadcasts using ORB. In
ProceedingsoftheIEEEPacificRimConferenceonCommunications,Computers and Signal Processing (PACRIM), Victoria,
BC,Canada, 24–26 August2015;pp. 58–63.[CrossRef]
17. Rafiq, M.; Rafiq, G.; Agyeman, R.; Jin, S.I.; Choi,
G.S.Sceneclassificationforsportsvideosummarizationusingtransferlearning.Sensors2020,20,1702.[CrossRef][PubMed]
18. Steels,T.;VanHerbruggen,B.;Fontaine,J.;DePessemier, T.; Plets, D.; De Poorter, E. Badminton ActivityRecognitionUsingAccelerometerData.Sensors2020,20,4685.[CrossRef] [PubMed]
19. Rangasamy,K.;As’ari,M.A.;Rahmad,N.A.;Ghazali,
20. N.F.Hockeyactivityrecognitionusingapre-traineddeeplearningmodel.ICTExpress 2020,6,170–174.[CrossRef]
21. Junjun, G. Basketball action recognition based on FPGAandparticleimage.Microprocess.Microsyst.2021,80,103334.[CrossRef]
22. Gu,X.;Xue,X.;Wang,F.Fine-GrainedActionRecognition on a Novel Basketball Dataset. In Proceedings ofthe ICASSP 2020—2020
IEEE International Conference onAcoustics,SpeechandSignalProcessing(ICASSP),Barcelona, Spain, 4–8May2020;pp.2563–2567
Proceedings of the International Conference on Applied and Engineering Mathematics(ICAEM),Taxila,Pakistan,4–5
September2018;pp.67–71.[CrossRef]
2. Karmaker,D.;Chowdhury,A.;Miah,M.;Imran,M.;Rahman, M. Cricket shot classification using motion vector. In Proceedings of the
2nd International Conference on Computing Technology and Information Management(ICCTIM), Johor, Malaysia, 21–23 April
2015; pp. 125–129.[Cross Ref]
3. Khan, A.; Nicholson, J.; Plötz, T. Activity recognition for qualit yassessmentofbatting
shotsincricketusingahierarchicalrepresentation.Proc.ACMInteract.Mob.WearableUbiquitousTechnol.2017,1,1–31.[CrossRef]
4. Foysal, M.F.A.; Islam, M.S.; Karim, A.; Neehal, N. Shot-Net: A convolutional neural network for classifying differentcricket shots.
In International Conference on Recent Trends inImage Processing and Pattern Recognition; Springer:Berlin,Germany,2018;pp.111–120.
5. Semwal, A.; Mishra, D.; Raj, V.; Sharma, J.; Mittal, A.Cricket shot detection from videos. In Proceedings of the 9thInternational
Conference on Computing, Communication andNetworking Technologies(ICCCNT),Bengaluru,India,10–12 July 2018; pp. 1–6.
[CrossRef] Sensors 2021, 21, 2846 19of19
6. Harikrishna,N.;Satheesh,S.;Sriram,S.D.;Easwarakumar, K. Temporal classification of events in
cricketvideos.InProceedingsoftheSeventeenthNationalConference on Communications (NCC), Bangalore, India, 28–30
January2011;pp. 1–5.[CrossRef]
7. Kolekar, M.H.; Palaniappan, K.; Sengupta, S.
Semanticeventdetectionandclassificationincricketvideosequence.InProceedingsoftheSixthIndianConferenceonComputerVision,Grap
hics&ImageProcessing,Bhubaneswar,India,16–19 December 2008;pp.382–389.[CrossRef]
8. Premaratne, S.; Jayaratne, K. Structural approach for
eventresolutionincricketvideos.InProceedingsoftheInternationalConferenceonVideoandImageProcessing,Singapore,27–29
December2017;pp.161–166.[CrossRef]
9. Javed,A.;Bajwa,K.B.;Malik,H.;Irtaza,A.;Mahmood,
10. M.T.A hybrid approach for summarization of cricket videos.InProceedingsoftheIEEEInternationalConferenceonConsumer
Electronics-Asia (ICCE-Asia), Seoul, Korea, 26–28October 2016;pp. 1–4.[CrossRef]
11. Kolekar, M.H.; Sengupta, S. Semantic concept mining incricket videos for automated highlight generation. Multimed.ToolsAppl.
2010,47,545–579. [CrossRef]
12. Bhalla, A.; Ahuja, A.; Pant, P.; Mittal, A. A
MultimodalApproachforAutomaticCricketVideoSummarization.InProceedingsofthe6thInternationalConferenceonSignalProcessinga
ndIntegratedNetworks(SPIN),Noida,UttarPradesh,India,7–8 March2019;pp.146–150.[CrossRef]
13. Tang, H.; Kwatra, V.; Sargin, M.E.; Gargi, U.
Detectinghighlightsinsportsvideos:Cricketasatestcase.InProceedingsoftheIEEEInternationalConferenceonMultimedia and Expo
(ICME), Barcelona, Spain, 11–15 July2011;pp.1–6.[CrossRef]
14. Kumar, Y.S.; Gupta, S.K.; Kiran, B.R.; Ramakrishnan,K.; Bhattacharyya, C. Automatic summarization of broadcastcricket videos.
In Proceedings of the IEEE 15th InternationalSymposium on Consumer Electronics (ISCE), Singapore, 14–17 June 2011;pp.222–
225. [CrossRef]
15. Ramsaran, M.; Pooransingh, A.; Singh, A.
AutomatedHighlightGenerationfromCricketBroadcastVideo.InProceedingsofthe8thInternationalConferenceon
ComputationalIntelligenceandCommunicationNetworks(CICN), Tehri, India, 23–25 December 2016; pp. 251–255.[CrossRef]
16. Ringis,D.;Pooransingh,A.Automatedhighlightgeneration from cricket broadcasts using ORB. In
ProceedingsoftheIEEEPacificRimConferenceonCommunications,Computers and Signal Processing (PACRIM), Victoria,
BC,Canada, 24–26 August2015;pp. 58–63.[CrossRef]
17. Rafiq, M.; Rafiq, G.; Agyeman, R.; Jin, S.I.; Choi,
G.S.Sceneclassificationforsportsvideosummarizationusingtransferlearning.Sensors2020,20,1702.[CrossRef][PubMed]
18. Steels,T.;VanHerbruggen,B.;Fontaine,J.;DePessemier, T.; Plets, D.; De Poorter, E. Badminton ActivityRecognitionUsingAccelerometerData.Sensors2020,20,4685.[CrossRef] [PubMed]
19. Rangasamy,K.;As’ari,M.A.;Rahmad,N.A.;Ghazali,
20. N.F.Hockeyactivityrecognitionusingapre-traineddeeplearningmodel.ICTExpress 2020,6,170–174.[CrossRef]
21. Junjun, G. Basketball action recognition based on FPGAandparticleimage.Microprocess.Microsyst.2021,80,103334.[CrossRef]
22. Gu,X.;Xue,X.;Wang,F.Fine-GrainedActionRecognition on a Novel Basketball Dataset. In Proceedings ofthe ICASSP 2020—2020
IEEE International Conference onAcoustics,SpeechandSignalProcessing(ICASSP),Barcelona, Spain, 4–8May2020;pp.2563–2567
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