Thesis Details

Detekce osob ve videozáznamu

Bachelor's Thesis Student: Marek Lukáš Academic Year: 2021/2022 Supervisor: Dyk Tomáš, Ing.
English title
Person Detection in Video
Language
Czech
Abstract

This bachelor thesis deals with the implementation of an application for detecting people in video footage. Both the application and the detection are implemented in Python. TKinter library is used to create the application. The OpenCV library and the YOLOv4 detection algorithm, which runs on a CUDA backend but can also run on the CPU, are used for detection.

Keywords

detection, person detection, detection in video, opencv, python, tkinter, image processing, yolov4, CUDA

Department
Degree Programme
Files
Status
defended, grade E
Date
14 June 2022
Reviewer
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
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
MAREK, Lukáš. Detekce osob ve videozáznamu. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Dyk Tomáš. Available from: https://www.fit.vut.cz/study/thesis/25225/
BibTeX
@bachelorsthesis{FITBT25225,
    author = "Luk\'{a}\v{s} Marek",
    type = "Bachelor's thesis",
    title = "Detekce osob ve videoz\'{a}znamu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25225/"
}
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