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undergraduate thesis
Sustav za detekciju prometnih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:854037
Lugović, Lovro
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Lugović, L. (2018). Sustav za detekciju prometnih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:854037

Lugović, Lovro. "Sustav za detekciju prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:854037

Lugović, Lovro. "Sustav za detekciju prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:854037

Lugović, L. (2018). 'Sustav za detekciju prometnih znakova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:854037

Lugović L. Sustav za detekciju prometnih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 June 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:854037

L. Lugović, "Sustav za detekciju prometnih znakova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:854037

Metadata
TitleSustav za detekciju prometnih znakova
Title (english)System for Traffic Sign Detection
AuthorLovro Lugović
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U okviru rada opisali smo generalnu ideju detekcije objekata te smo proučili i objasnili najčešće metode detekcije, s naglaskom na detekciju prometnih znakova. Implementirali smo sustav za detekciju prometnih znakova koristeći programski jezik Python i biblioteku za računalni vid OpenCV. Sustav smo testirali na javno dostupnim skupovima podataka GTSDB-u i MASTIF-u te su analizirani dobiveni rezultati.
Abstract (english)
We describe the general idea of object detection and provide a summary of the most common detection methods, focusing particularly on the detection of traffic signs. We implemented a simple traffic sign detection system using the programming language Python and the computer vision library OpenCV. We tested the system on publicly available datasets GTSDB and MASTIF and analyzed the acquired results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:854037
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 on2019-03-13 22:23:51