prikaz prve stranice dokumenta Prepoznavanje i praćenje objekata u cestovnom prometu
No public access
master's thesis
Prepoznavanje i praćenje objekata u cestovnom prometu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:469419
Vučemilo, Marija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vučemilo, M. (2024). Prepoznavanje i praćenje objekata u cestovnom prometu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:469419

Vučemilo, Marija. "Prepoznavanje i praćenje objekata u cestovnom prometu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:469419

Vučemilo, Marija. "Prepoznavanje i praćenje objekata u cestovnom prometu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:469419

Vučemilo, M. (2024). 'Prepoznavanje i praćenje objekata u cestovnom prometu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:469419

Vučemilo M. Prepoznavanje i praćenje objekata u cestovnom prometu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:469419

M. Vučemilo, "Prepoznavanje i praćenje objekata u cestovnom prometu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:469419

Metadata
TitlePrepoznavanje i praćenje objekata u cestovnom prometu
Title (english)Recognition and monitoring of road traffic objects
AuthorMarija Vučemilo
MentorMarko Jurčević (mentor)
Committee memberMarko Jurčević (predsjednik povjerenstva)
Committee memberJure Konjevod (član povjerenstva)
Committee memberIvan Leniček (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-02-26, Croatia
Abstract
Ovaj rad bavi se prepoznavanjem i praćenjem objekata koji su neki od problema računalnog vida. Postoji mnogo algoritama koji se mogu iskoristiti za te zadatke, a jedan od njih je YOLO (engl. You Only Look Once). Posljednja verzija modela YOLO, koja je ujedno najbrža i najtočnija, je YOLOv8. U ovom radu, bilo je potrebno trenirati i validirati model YOLOv8 na slikama i videozapisima iz cestovnog prometa. Prije treniranja, bilo je potrebno stvoriti skup podataka s označenim slikama. Nakon svega toga, implementiran je sustav za praćenje objekata. Zadaća tog sustava je detekcija i praćenje objekata na videozapisu iz cestovnog prometa u stvarnom vremenu. Osim toga, aplikacija sprema podatke o detektiranim objektima u bazu podataka te se u datotečni sustav sprema videozapis za svaki objekt. Također, moguć je pregled prošlih događaja i videozapisa. Za implementaciju sustava iskorišten je programski jezik Python.
Abstract (english)
This work deals with the recognition and tracking of objects, which are some of the challenges in computer vision. There are many algorithms that can be used for these tasks, and one of them is YOLO (You Only Look Once). The latest version of the YOLO model, which is also the fastest and most accurate, is YOLOv8. In this work, it was necessary to train and validate the YOLOv8 model on images and videos from road traffic. Before training, it was necessary to create a dataset with annotated images. After all of that, a real-time object tracking system was implemented. The purpose of this system is to detect and track objects in real-time within a live stream of road traffic. Additionally, the application stores data about detected objects in a database, and a video is saved to the file system for each object. It is also possible to review past events and videos. The implementation of the system utilized the Python programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:469419
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
Terms of useLicence In copyright icon
Public note
Created on2024-03-28 07:56:54