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Exploring Computer Vision-Based AI-Assisted Coaching for Youth Football Players
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3.
2024 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Recently advances in computer vision have been made with the aid of artificial intelligence. This has made tracking sports in real-time a possibility. Specifically, this project aim to track objects in a football exercise in real-time with a single low-angle video camera, and quickly create feedback. Detecting the players during the exercise was mostly successful, but the ball could only be detected in certain areas of the playing area. Keeping track of the different players in the exercise proved to be difficult with the setup. Alternate ways to provide feedback without knowing the identities of the players were possible but limited. To be able to reliably provide insightful feedback the system would likely need to be changed to a high-angle or multi-camera system.

Place, publisher, year, edition, pages
2024. , p. 22
Series
UPTEC F, ISSN 1401-5757 ; UPTEC F 24041
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-532757OAI: oai:DiVA.org:uu-532757DiVA, id: diva2:1875099
Educational program
Master Programme in Engineering Physics
Supervisors
Examiners
Available from: 2024-06-24 Created: 2024-06-20 Last updated: 2024-06-24Bibliographically approved

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fulltext(7084 kB)24 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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  • apa
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