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master's thesis
Praćenje više pokretnih objekata temeljeno na algoritmima detekcije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:392263
Šimag, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šimag, D. (2021). Praćenje više pokretnih objekata temeljeno na algoritmima detekcije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:392263

Šimag, Domagoj. "Praćenje više pokretnih objekata temeljeno na algoritmima detekcije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:392263

Šimag, Domagoj. "Praćenje više pokretnih objekata temeljeno na algoritmima detekcije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:392263

Šimag, D. (2021). 'Praćenje više pokretnih objekata temeljeno na algoritmima detekcije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:392263

Šimag D. Praćenje više pokretnih objekata temeljeno na algoritmima detekcije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:392263

D. Šimag, "Praćenje više pokretnih objekata temeljeno na algoritmima detekcije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:392263

Metadata
TitlePraćenje više pokretnih objekata temeljeno na algoritmima detekcije
Title (english)Multi-object tracking based on tracking-by-detection paradigm
AuthorDomagoj Šimag
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (predsjednik povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberGoran Vasiljević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U radu je obrađeno praćenje više pokretnih objekata temeljeno na metodi praćenja pomoću detekcije. Korištene su Tracktor i Tracktor++ metode, te je radi poboljšanja razvijena Tracktor+++ metoda. Da bi se određeni objekt na snimci uspješno detektirao i pratio korištena je, zbog postignutih rezultata u tom području, konvolucijska neuronska mreža. Inačice Tracktor metode koriste Faster R-CNN, Feature Pyramid Networks, Region Proposal Network i Non-Maximum Suppression algoritam i arhitekture za pronalaženje i praćenje objekata. Implementirana su četiri matematička modela za predviđanje trajektorije kretanja objekata kroz sekvence. To su otežani pomični prosjek, alpha - beta filtar, alpha - beta - gamma filtar i Kalmanov filtar. Dodatno je analizirano kako promjena intervala detekcije utječe na performanse različitih inačica Tracktor metoda.
Abstract (english)
The subject of this master thesis is multi-object tracking based on tracking-by-detection paradigm. Tracktor and Tracktor++ methods are used and, in order to improve its performance, a Tracktor+++ method is developed. In order for a method to successfully detect and track a certain object, a convolutional neural network is used. All three types of Tracktor methods use Faster R-CNN, Feature Pyramid Networks, Region Proposal Network i Non-Maximum Suppression algorithm and architectures to detect and track objects. Four mathematical models are implemented to estimate object's trajectory throughout sequences. These are weighted moving average, alpha - beta filter, alpha - beta - gamma filter and Kalman filter. Additionally, a test is made to check how a change in detection interval affects Tracktor's performance.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:392263
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 13:56:00