Thesis Details

Identifikace osob ve videozáznamu z kvadrokoptéry

Bachelor's Thesis Student: Mojžiš Tomáš Academic Year: 2019/2020 Supervisor: Goldmann Tomáš, Ing.
Language
Slovak
Abstract

The aim of this thesis is to make an application capable of recognizing people's faces based on a user-created database in drone footage. The database is made of pictures of people that should be identified in the footage. The output of this application is a video where the demanded people are labeled with their names. Some face detection and recognition state of the art solutions based on neural networks are compared in this work. The final solution consists of the MTCNN detector and a face embedding extractor based on ArcFace. The created multiplatform application allows to recognize people in drone footage even with face width of less than 20 pixels. The final solution was tested on a private dataset comprised of drone footage.

Keywords

artificial intelligence, computer vision, face recognition, face detection, drone, camera, cctv, cmos, ccd, convolutional neural network, CNN, MTCNN, ArcFace, OpenCV, Python, PyQt, biometrics

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
8 July 2020
Reviewer
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Committee
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), předseda
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Polčák Libor, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
MOJŽIŠ, Tomáš. Identifikace osob ve videozáznamu z kvadrokoptéry. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-08. Supervised by Goldmann Tomáš. Available from: https://www.fit.vut.cz/study/thesis/22803/
BibTeX 
@bachelorsthesis{FITBT22803,
    author = "Tom\'{a}\v{s} Moj\v{z}i\v{s}",
    type = "Bachelor's thesis",
    title = "Identifikace osob ve videoz\'{a}znamu z kvadrokopt\'{e}ry",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/22803/"
}

Theses

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