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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-532757 |
| Date | January 2024 |
| Creators | Gustafsson, Emil Folke |
| Publisher | Uppsala universitet, Avdelningen Vi3 |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC F, 1401-5757 ; UPTEC F 24041 |
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