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dc.contributor.authorJha, Debesh
dc.contributor.authorRauniyar, Ashish
dc.contributor.authorJohansen, Håvard D.
dc.contributor.authorJohansen, Dag
dc.contributor.authorRiegler, Michael Alexander
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorBagci, Ulas
dc.date.accessioned2022-09-16T11:40:58Z
dc.date.available2022-09-16T11:40:58Z
dc.date.issued2022-07-22
dc.description.abstractUbiquitous sensors and Internet of Things (IoT)technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post-game. New methods, including machine learning, image, and video processing, have been developed for performance evaluation, allowing the analyst to track the performance of a player in real-time. Following FIFA’s 2015 approval of electronics performance and tracking system during games, performance data of a single player or the entire team is allowed to be collected using GPS-based wearables. Data from practice sessions outside the sporting arena is being collected in greater numbers than ever before. Realizing the significance of data in professional soccer, this paper presents video analytics, examines recent state-of-the-art literature in elite soccer, and summarizes existing real-time video analytics algorithms. We also discuss real-time crowdsourcing of the obtained data, tactical and technical performance, distributed computing, and its importance in video analytics and propose a future research perspective.en_US
dc.identifier.citationJha, Rauniyar, Johansen, Johansen, Riegler, Halvorsen, Bagci. Video Analytics in Elite Soccer: A Distributed Computing Perspective. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2022:221-225en_US
dc.identifier.cristinIDFRIDAID 2040070
dc.identifier.doi10.1109/SAM53842.2022.9827827
dc.identifier.issn1551-2282
dc.identifier.issn2151-870X
dc.identifier.urihttps://hdl.handle.net/10037/26835
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.subjectVDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kommunikasjon og distribuerte systemer: 423en_US
dc.subjectVDP::Mathematics and natural scienses: 400::Information and communication science: 420::Communication and distributed systems: 423en_US
dc.subjectIdrett / Ahtletics, Sportsen_US
dc.subjectMaskinlæring / Machine learningen_US
dc.subjectVideoanalyse / Video analysisen_US
dc.titleVideo Analytics in Elite Soccer: A Distributed Computing Perspectiveen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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