Thesis Details

Automatic Trafic Scene Analysis Using Image Processing

Bachelor's Thesis Student: Válek Lukáš Academic Year: 2019/2020 Supervisor: Zemčík Pavel, prof. Dr. Ing.
Czech title
Automatická analýza scény v dopravě prostřednictvím zpracování obrazu
Language
English
Abstract

This thesis deals with the issue of scene analysis using computer vision methods. The aim of this work is to create a system capable of automatically detecting anomalies found in video recordings. The present thesis discusses object-detection and object-tracking systems. It also pursues graphical user interface and violation-detecting algorithm of user-defined rules. As a result of the present thesis, a web application is created that allows users to manage their videos, to define rules for scenes, to start the anomaly detection as well as display the results of the analysis. The system operates in real-time, notifies users when the operation is finished and stores the analysis results for further processing.

Keywords

Image Recognition, Machine Learning, Python, Flask, YOLO, DeepSort, Web Application, Object detection, Object tracking, Computer Vision

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
8 July 2020
Reviewer
Špaňhel Jakub, Ing.
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
VÁLEK, Lukáš. Automatic Trafic Scene Analysis Using Image Processing. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-08. Supervised by Zemčík Pavel. Available from: https://www.fit.vut.cz/study/thesis/20774/
BibTeX 
@bachelorsthesis{FITBT20774,
    author = "Luk\'{a}\v{s} V\'{a}lek",
    type = "Bachelor's thesis",
    title = "Automatic Trafic Scene Analysis Using Image Processing",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/20774/"
}

Theses

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