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undergraduate thesis
Detekcija igrača u snimkama nogometnih utakmica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:270216
Kukec, Fran
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kukec, F. (2020). Detekcija igrača u snimkama nogometnih utakmica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:270216

Kukec, Fran. "Detekcija igrača u snimkama nogometnih utakmica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:270216

Kukec, Fran. "Detekcija igrača u snimkama nogometnih utakmica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:270216

Kukec, F. (2020). 'Detekcija igrača u snimkama nogometnih utakmica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:270216

Kukec F. Detekcija igrača u snimkama nogometnih utakmica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:270216

F. Kukec, "Detekcija igrača u snimkama nogometnih utakmica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:270216

Metadata
TitleDetekcija igrača u snimkama nogometnih utakmica
Title (english)Detection of Players in Football Game Video
AuthorFran Kukec
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad pokriva detekciju igrača na nogometnoj utakmici korištenjem algoritma oduzimanja pozadine. Objašnjeno je što je algoritam oduzimanja pozadine te kako se koristi. Nabrojali smo rekurzivne i nerekurzivne tehnike odvajanja pozadine od objekata u prvom planu. Spomenuti su i dodatni algoritmi koje je bilo moguće razmatrati u okviru rješavanja ovog problema te smo detaljno razmotrili one korištene u implementaciji: MOG2 i KNN. Rješenje je implementirano u programskom jeziku Python i komentiraju se korištene funkcije. Dokumentirana je izrada maske za detekciju objekata u prvom planu. Za naglašavanje i lakšu detekciju igrača na snimci koristili smo morfološke transformacije. Dobivene rezultate označili smo omeđujućim pravokutnicima. Napravili smo evaluaciju uspješnosti detekcije s pripadnim referentnim okvirima i izračunali smo preciznost i odziv.
Abstract (english)
The subject of this thesis is football player detection using a background subtraction algorithm. The background subtraction algorithm is explained and how we used it in implementing the solution. The recursive and non-recursive techniques in background subtraction have been mentioned, as well as other algorithms which we could have used in the solution. The background subtractors MOG2 and KNN, which we used in the implementation are explained. The program was written in the Python programming language and the functions used in the implementation, both ours and imported, are mentioned and commented on. We have covered making the foreground mask from our initial image set. To make player detection easier and more successful, morphological transformations were used. Then, we marked our detections with predicted bounding boxes. After that, the detection was evaluated using respective ground-truth models for each detection and with this data the mean values of precision and recall were calculated.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:270216
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:54:21