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master's thesis
Sustav dubokog učenja za analizu videozapisa sportskih susreta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:286438
Sabalić, Vito
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Sabalić, V. (2024). Sustav dubokog učenja za analizu videozapisa sportskih susreta (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:286438

Sabalić, Vito. "Sustav dubokog učenja za analizu videozapisa sportskih susreta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:286438

Sabalić, Vito. "Sustav dubokog učenja za analizu videozapisa sportskih susreta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:286438

Sabalić, V. (2024). 'Sustav dubokog učenja za analizu videozapisa sportskih susreta', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:286438

Sabalić V. Sustav dubokog učenja za analizu videozapisa sportskih susreta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:286438

V. Sabalić, "Sustav dubokog učenja za analizu videozapisa sportskih susreta", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:286438

Metadata
TitleSustav dubokog učenja za analizu videozapisa sportskih susreta
Title (english)Deep Learning System for Analysis of Video Sequences of Sport Matches
AuthorVito Sabalić
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberSiniša Šegvić (član povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-11, Croatia
Abstract
Potražnja za naprednom analizom sportskih susreta neprestano raste, a automatski sustavi za praćenje igrača postaju ključni alati za razumijevanje dinamike sportske utakmice. Ovaj diplomski rad bavi se razvojem sustava za automatsku detekciju i praćenje igrača na teniskom terenu, koristeći ulazne videozapise teniskih utakmica. Sustav kombinira detektor YOLOv8 za detekciju igrača, algoritam DeepSORT za praćenje igrača iz kadra u kadar te matricu homografije za preslikavanje pozicija igrača na dvodimenzionalni prikaz teniskog terena. U ovom radu temeljito je objašnjena teorijska podloga navedenih metoda, opisana je implementacija tih metoda u sustav te je predstavljen pseudokod implementacije svih komponenata. Također, prikazani su rezultati izvođenja sustava te su evaluirane preciznosti detektora i preslikavanja matricom homografije. Na kraju rada istaknuta su ograničenja implementacije te su predložena potencijalna unaprjeđenja.
Abstract (english)
The demand for advanced analysis of sports events is continually increasing, and automatic player tracking systems are becoming crucial tools for understanding the dynamics of a sports game. This thesis focuses on the development of a system for automatic detection and tracking of players on a tennis court, using video recordings of tennis matches as the input. The system combines the YOLOv8 detector for player detection, the DeepSORT algorithm for tracking players frame by frame, and a homography matrix for mapping player positions onto a two-dimensional representation of the tennis court. This work thoroughly explains the theoretical foundation of the aforementioned methods, describes their implementation in the system, and presents pseudocode for all implemented components. Furthermore, the system's execution results were displayed and the accuracy of the detector and homography matrix mapping were evaluated. Finally, the limitations of the implementation were discussed along with potential improvements.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:286438
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2024-10-12 22:03:30