Thesis Details

Detekce dopravních značek

Bachelor's Thesis Student: Jurča Michal Academic Year: 2014/2015 Supervisor: Beran Vítězslav, doc. Ing., Ph.D.
English title
Road Sign Detection
Language
Czech
Abstract

This bachelor' thesis deals with the detection of traffic signs from image, focusing on the classification of traffic signs. First will be presented shortly available solution, used data sets and methods of dealing with object-signs. The next step will describe the procedures for creating a model and then his training classifier using Support Vector Machines. Finally they will be described a method for evaluation of the model and the evaluated results.

Keywords
traffic signs, classification, support vector machines, cascade classifier, training, LIBSVM
Department
Degree Programme
Information Technology
Files
Status
not defended
Date
15 June 2015
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Citation
JURČA, Michal. Detekce dopravních značek. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-15. Supervised by Beran Vítězslav. Available from: https://www.fit.vut.cz/study/thesis/17008/
BibTeX
@bachelorsthesis{FITBT17008,
    author = "Michal Jur\v{c}a",
    type = "Bachelor's thesis",
    title = "Detekce dopravn\'{i}ch zna\v{c}ek",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17008/"
}
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