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undergraduate thesis
Detekcija i raspoznavanje prometnih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:572031
Matošević, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Matošević, L. (2014). Detekcija i raspoznavanje prometnih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:572031

Matošević, Luka. "Detekcija i raspoznavanje prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:572031

Matošević, Luka. "Detekcija i raspoznavanje prometnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:572031

Matošević, L. (2014). 'Detekcija i raspoznavanje prometnih znakova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:572031

Matošević L. Detekcija i raspoznavanje prometnih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:572031

L. Matošević, "Detekcija i raspoznavanje prometnih znakova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:572031

Metadata
TitleDetekcija i raspoznavanje prometnih znakova
Title (english)Traffic sign detection and recognition
AuthorLuka Matošević
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberDanko Ivošević (član povjerenstva)
Committee memberZvonimir Pavlić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-09-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu razmatraju se osnovne metode računalnog vida za detekciju i raspoznavanje kružnih i trokutastih prometnih znakova s video sekvenci snimljenih iz pokretnog vozila. Detekcija se provodi na temelju modela oblika primjenom Houghove transformacije za kružnice prilikom detekcije kružnih znakova, odnosno metode praćenja brida za detekciju trokutastih znakova. Raspoznavanje detektiranih znakova se obavlja uporabom metode usporedbe uzoraka iz postojeće baze znakova. U sklopu ovog rada programski je ostvaren sustav temeljen na metodama računalnog vida te je nad istim provedeno ispitivanje uporabom reprezentativnog uzorka sekvenci uz uspješnost raspoznavanja od 28,09%.
Abstract (english)
This work discusses the basic methods of computer vision for detection and recognition of circular and triangular traffic signs from video sequences taken from a moving vehicle. The detection is performed based on the shape model using the Hough transform for circle detection in circular signs, and border following method for detection of triangular signs. Recognizing the detected signs is done using the template matching method from the existing traffic signs database. As part of this work there is realized a system based on computer vision methods and it is tested using a representative sample sequences with the recognition performance of 28.09%.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:572031
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 on2018-02-05 17:44:25