IMPROVEMENT OF ACTION ANNOTATION IN FOOTBALL MATCHES

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dc.contributor.authorAkimbayev, Assylan
dc.date.accessioned2022-06-10T05:23:34Z
dc.date.available2022-06-10T05:23:34Z
dc.date.issued2022-05
dc.description.abstractWith ever-increasing video consumption, video indexing is an essential tool that gives the ability to search through the video content. Action recognition in videos is not new but rather a highly researched field in computer vision. Within this field, recognizing actions in sports has bloomed over the years. Many approaches have been developed in recent years for various sports be it team sports or individual. Within this work, we propose an algorithm that automates the detection of actions in football matches on a frame-by-frame basis and classifies them into 40 predefined classes depending both on the angle and the length of action. After examining the broadcast video, we extract visual features from each frame to detect ball trajectory. Using this trajectory, we will group continuous ball movement into low-level actions using the clustering technique. These low-level actions are building blocks for high-level actions such as passes, kicks, dribble, etc. Results show that our approach works correctly 80 percent of the time. With such results, this approach can be the basis for other works such as next action prediction, and pattern recognition.en_US
dc.identifier.citationAkimbayev, A. (2022). IMPROVEMENT OF ACTION ANNOTATION IN FOOTBALL MATCHES (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstanen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6211
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Gated Accessen_US
dc.subjectfootballen_US
dc.subjectaction recognitionen_US
dc.subjectpattern recognitionen_US
dc.subjectaction predictionen_US
dc.subjectaction annotationen_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleIMPROVEMENT OF ACTION ANNOTATION IN FOOTBALL MATCHESen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

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