Thesis Details

Detekce anomálií v chování davu ve video-datech z dronu

Master's Thesis Student: Bažout David Academic Year: 2020/2021 Supervisor: Beran Vítězslav, doc. Ing., Ph.D.
English title
Crowd Behavior Anomaly Detection in Drone Videodata
Language
Czech
Abstract

There have been lots of new drone applications in recent years. Drones are also often used in the field of national security forces. The aim of this work is to design and implement a tool intended for crowd behavior analysis in drone videodata. This tool ensures identification of suspicious behavior of persons and facilitates its localization. The main benefits include the design of a suitable video stabilization algorithm to stabilize small jitters, as well as trace back of the lost scene. Furthermore, two anomaly detectors were proposed, differing in the method of feature vector extraction and background modeling. Compared to the state of the art approaches, they achieved comparable results, but at the same time they brought the possibility of online data processing.

Keywords

video stabilization, anomaly detection, optical flow, crowded scenes, drones

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology and Artificial Intelligence, Specialization Computer Vision
Files
Status
defended, grade B
Date
24 June 2021
Reviewer
Herout Adam, prof. Ing., Ph.D.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), člen
Citation
BAŽOUT, David. Detekce anomálií v chování davu ve video-datech z dronu. Brno, 2021. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-24. Supervised by Beran Vítězslav. Available from: https://www.fit.vut.cz/study/thesis/22836/
BibTeX 
@mastersthesis{FITMT22836,
    author = "David Ba\v{z}out",
    type = "Master's thesis",
    title = "Detekce anom\'{a}li\'{i} v chov\'{a}n\'{i} davu ve video-datech z dronu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22836/"
}

Theses

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