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master's thesis
Sustav za detekciju i raspoznavanje prometnih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:747337
Mandarić, Mislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Mandarić, M. (2014). Sustav za detekciju i raspoznavanje prometnih znakova (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:747337

Mandarić, Mislav. "Sustav za detekciju i raspoznavanje prometnih znakova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:747337

Mandarić, Mislav. "Sustav za detekciju i raspoznavanje prometnih znakova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:747337

Mandarić, M. (2014). 'Sustav za detekciju i raspoznavanje prometnih znakova', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:747337

Mandarić M. Sustav za detekciju i raspoznavanje prometnih znakova [Master's 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:168:747337

M. Mandarić, "Sustav za detekciju i raspoznavanje prometnih znakova", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:747337

Metadata
TitleSustav za detekciju i raspoznavanje prometnih znakova
Title (english)Traffic sign detection and recognition system
AuthorMislav Mandarić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberSiniša Šegvić (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rješavanje problema detekcije i raspoznavanja prometnih znakova za ograničenje brzine može se iskoristiti u mnogim segmentima auto industrije. Rješenje tog problema uz zadovoljavajuće rezultate mogu biti općeniti algoritmi za detekciju i raspoznavanje bez kompleksne obrade slika kao što su Viola-Jones detektor i klasifikator slučajne šume. Iskorišteni Viola-Jones detektor ima dobre rezultate uz problem lažno pozitivnih odziva. Taj problem riješio se korištenjem dulje kaskade uz posljedicu smanjenja broja točnih detekcija. Klasifikacija algoritmom slučajne šume daje vrlo dobre rezultate čak i uz korištenje jednostavnih značajki poput vrijednosti slikovnih elemenata slike sivih razina.
Abstract (english)
Speed limit traffic sign detection and recognition system can be used in car industry. Satisfactorily solution to this problem can be achived using general purpuse detection and recognition algorithms like Viola-Jones and Random forests, all without complex image processing. Used Viola-Jones detector gave good results but problem was large number of false positives. That problem is solved using longer cascade that raised number of false negatives. Random forests classification algorithm gave very good results even though very simple features like grayscale pixel values are used.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:747337
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
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Created on2018-02-06 10:20:04