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master's thesis
Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:917652
Vrbanić, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vrbanić, D. (2022). Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:917652

Vrbanić, Dominik. "Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:917652

Vrbanić, Dominik. "Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:917652

Vrbanić, D. (2022). 'Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:917652

Vrbanić D. Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 October 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:917652

D. Vrbanić, "Praćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:917652

Metadata
TitlePraćenje višestrukog broja objekata jedne klase uz tehniku re-identifikacije
Title (english)Tracking multiple objects of one class with re-identification technique
AuthorDominik Vrbanić
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (član povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberGoran Vasiljević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome diplomskom radu nabrojane su i ukratko objašnjene najsuvremenije tehnologije za prac´enje više pokretnih objekata u slici. Takod¯er su predstavljeni neki od izazova u tom podruˇcju. Odabran je jedan od algoritama, Deep SORT, koji koristi neuronske mreže kako bi pratio objekte u stvarnom vremenu. Algoritam je implementiran i testiran na problemu pra´cenja bespilotnih letjelica.
Abstract (english)
In this diploma thesis, the most modern technologies for tracking several moving objects in the image are listed and briefly explained. Some of the challenges in this area are also presented. One of the algorithms, Deep SORT, was chosen, which uses neural networks to track objects in real time. The algorithm was implemented and tested on the problem of unmanned aerial vehicles tracking.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:917652
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 on2023-01-14 10:14:35