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master's thesis
Duboki konvolucijski modeli za praćenje objekata
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:698674
Fabijanić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Fabijanić, I. (2017). Duboki konvolucijski modeli za praćenje objekata (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:698674

Fabijanić, Ivan. "Duboki konvolucijski modeli za praćenje objekata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:698674

Fabijanić, Ivan. "Duboki konvolucijski modeli za praćenje objekata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:698674

Fabijanić, I. (2017). 'Duboki konvolucijski modeli za praćenje objekata', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:698674

Fabijanić I. Duboki konvolucijski modeli za praćenje objekata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:698674

I. Fabijanić, "Duboki konvolucijski modeli za praćenje objekata", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:698674

Metadata
TitleDuboki konvolucijski modeli za praćenje objekata
Title (english)Deep convolutional models for object tracking
AuthorIvan Fabijanić
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi problemom detekcije i praćenja sa dubokim konvoluciiskim modelima. Objašnjeni su koncepti dubokih konvolucijskih modela, metode učenja te metode detekcije i praćenja objekata. Također su opisani modeli detekcije i praćenja objekata koji su razvijeni u okviru ovog rada. Modeli su evaluirani tako da se mjerila kvaliteta praćenja modela za praćenje u odnosu na model za detekciju, mjerila se kvaliteta praćenja u odnosu na duljinu faze učenja i mjerila se brzina izvođenja ta dva modela. Testovi i faze učenja su provedeni na video snimci nogometne utakmice koja je snimana iz ptičje perspektive gdje su kao objekti za praćenje bili igrači oba tima i sudac.
Abstract (english)
This paper examines the problems of object tracking and detection with deep convolutional models. Concepts of deep convolutional networks, learning methods and methods for detection and tracking have been explained as well. Detection and tracking models developed for this paper have also been explained. Models are evaluated with measurement of tracking quality of tracking model against detection model, measurement of tracking quality with different length of learning phase and with measurement of execution performance of those two models. Learning phases and tests have been executed on video file containing the football match which have been filmed in bird's eye perspective where the tracking objects have been players of both teams and the referee.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:698674
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
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Created on2019-03-13 20:10:30