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master's thesis
Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:112983
Vučković, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Vučković, I. (2015). Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:112983

Vučković, Ivan. "Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:112983

Vučković, Ivan. "Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:112983

Vučković, I. (2015). 'Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:112983

Vučković I. Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:112983

I. Vučković, "Prepoznavanje registarskih pločica iz video snimke u otežanim uvjetima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:112983

Metadata
TitlePrepoznavanje registarskih pločica iz video snimke u otežanim uvjetima
Title (english)License plate recognition from low quality video sequences
AuthorIvan Vučković
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
Committee memberTomislav Pribanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi problemom prepoznavanja registarskih oznaka automobila u prometu snimljenih na foto aparatu. Cilj rada je predložiti i implementirati metodu koja rješava navedeni problem te prikazati rezultate dobivene provođenjem metode. Zašto? Sve je veći broj automobila na cesti i povećava se potreba za automatskim video nadzorom prometa, a prepoznavanje registarskih oznaka automobila je važan dio automatskog video nadzora prometa. Obično, kvaliteta kamera koje se koriste za nadzor nije najbolja pa da bi se simulirala snimka nadzorne kamere koristi se digitalni foto aparat, a video snimka nije visoke rezolucije. Kako? Predloženo rješenje problema može se razdijeliti na nekoliko osnovnih dijelova, a to su segmentacija objekta iz video snimke, pronalazak objekta zadovoljavajućih dimenzija, traženje registarske pločice na objektu i prepoznavanje znakova na registarskoj pločici. Kako bi metoda u ovom radu uspješno radila, zahtjevi za ograničenjima koji se moraju poštovati su da se automobil mora kretati prema kameri, da se mora nalaziti na kameri bližoj strani ceste i da se mora kretati relativno polako.
Abstract (english)
This papers goal is recognition of license plate on car in motion taken with photo camera. The goal is to propose and implement a method which will automatically detect and recognize license plate and to show results of implementation. Why? There is ever growing number of cars on the road and there is increasing need for automatic video traffic survailance of traffic and automatic licence plate recognition is one of its main parts. Usually, survailance cameras aren't high definition so to simulate video from survailance camera I will use digital photo camera with low definition video capturing capability. How? Proposed method can be divided into several parts. Those parts are foreground segmentation, object detection which is big enough, licence plate detection on image of a car and, finally, symbol detection using optical character recognition on image of licence plate. For proposed method to work properly, some restrictions have to be satisfied and they are: Car has to be moving towards camera, car has to be on the same side of the road as camera and car has to move relatively slow.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:112983
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 14:25:10