Thesis Details

Analýza záznamů bezpečnostních kamer

Bachelor's Thesis Student: Ščavnická Šárka Academic Year: 2020/2021 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Analysis of Surveillance Camera Recordings
Language
Czech
Abstract

This thesis deals with the systems for analyzing records from security cameras. It aims to create a functional solution that analyzes records and answers questions from the user. The created system combines the YOLO algorithm for object detection and DeepSORT for their subsequent tracking. It contains five models that detect specific situations. Individual models achieved varying degrees of success during testing, with the lowest success rate being 58 % for the getting out of car situation. The highest success rate, 83 %, was obtained by a model for detecting a meeting between two people.

Keywords

surveillance video search, object detection, object tracking, homography, object trackingproblems, confusion matrix

Department
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
16 June 2021
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
ŠČAVNICKÁ, Šárka. Analýza záznamů bezpečnostních kamer. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-16. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/22442/
BibTeX
@bachelorsthesis{FITBT22442,
    author = "\v{S}\'{a}rka \v{S}\v{c}avnick\'{a}",
    type = "Bachelor's thesis",
    title = "Anal\'{y}za z\'{a}znam\r{u} bezpe\v{c}nostn\'{i}ch kamer",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22442/"
}
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