Thesis Details

Detekce, sledování a klasifikace automobilů

Master's Thesis Student: Vopálenský Radek Academic Year: 2016/2017 Supervisor: Juránek Roman, Ing., Ph.D.
English title
Detection, Tracking and Classification of Vehicles
Language
Czech
Abstract

The aim of this master thesis is to design and implementation in language C++ a system for the detection, tracking and classification of vehicles from streams or records from traffic cameras. The system runs on the platform Robot Operating System and uses the OpenCV, FFmpeg, TensorFlow and Keras libraries. For detection is used cascade classifier, for tracking Kalman filter and for classification of the convolutional neural network. Success rate for detection is 91.93 %, tracking 81.94 % and classification 63.72 %. This system is part of a comprehensive system, that can moreover calibrate video and measure of vehicles speed. The resulting system can be used for traffic analysis.

Keywords

traffic, detection, tracking, classification, image processing, ROS, cascade classifier, Kalman filter, convolutional neural network

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
not defended
Date
22 June 2017
Reviewer
Herout Adam, prof. Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matyska Luděk, prof. RNDr., CSc. (FI MUNI), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Citation
VOPÁLENSKÝ, Radek. Detekce, sledování a klasifikace automobilů. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-22. Supervised by Juránek Roman. Available from: https://www.fit.vut.cz/study/thesis/18953/
BibTeX 
@mastersthesis{FITMT18953,
    author = "Radek Vop\'{a}lensk\'{y}",
    type = "Master's thesis",
    title = "Detekce, sledov\'{a}n\'{i} a klasifikace automobil\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18953/"
}

Theses

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