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undergraduate thesis
Konvolucijski modeli za lokalizaciju sportaša
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:154819
Stipić, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Stipić, D. (2019). Konvolucijski modeli za lokalizaciju sportaša (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:154819

Stipić, Dominik. "Konvolucijski modeli za lokalizaciju sportaša." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:154819

Stipić, Dominik. "Konvolucijski modeli za lokalizaciju sportaša." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:154819

Stipić, D. (2019). 'Konvolucijski modeli za lokalizaciju sportaša', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:154819

Stipić D. Konvolucijski modeli za lokalizaciju sportaša [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 October 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:154819

D. Stipić, "Konvolucijski modeli za lokalizaciju sportaša", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:154819

Metadata
TitleKonvolucijski modeli za lokalizaciju sportaša
Title (english)Convolutional Models for Person Localization in Sport Broadcasts
AuthorDominik Stipić
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberMarin Oršić (član povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Modeli dubokog učenja temeljeni na konvolucijskim neuronskim mrežama postižu vrhunske rezultate u području računalnog vida. U ovom radu razmatramo arhitekture i algoritme za detekciju i lokalizaciju objekata. Kasnije primjenjujemo Mask R-CNN arhitekturu za lokalizaciju sportaša na video snimci nogometne utakmice. Nakon toga,mjerimo performanse Mask R-CNN detektora prilikom detekcije sportaša na zadanoj video snimci nogometne utakmice.
Abstract (english)
Deep learning models which are based on convolutional neural networks achieve top results in the field of computer vision. In this paper, we consider architecture and algorithms for detecting and localizing objects. Later we apply the Mask R-CNN architecture to localize the athletes on the videotape of the football match. We then measure the performance of the Mask R-CNN detector on detecting athletes on the given football match videotape.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:154819
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 on2020-01-07 22:09:10