Thesis Details

Sledování objektů ve videosekvencích

Master's Thesis Student: Mlích Jozef Academic Year: 2007/2008 Supervisor: Zemčík Pavel, prof. Dr. Ing.
English title
Object Tracking in Video Sequences
Language
Czech
Abstract

In this master thesis, image processing methods and methods for statistical modeling of motion are presented. First, description methods of image processing, such as background subtraction method used for object detection, are presented. Next, description of morphological operations, such as dilatation and erosion, is done. Finally, methods for statistical modeling, such as Kalman filter and particle filters, are shown.

Keywords

Computer vision, Kalman filter, particle filters

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
18 June 2008
Reviewer
Beran Vítězslav, doc. Ing., Ph.D.
Committee
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Sojka Eduard, doc. Dr. Ing. (VŠB-TUO), člen
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), člen
Citation
MLÍCH, Jozef. Sledování objektů ve videosekvencích. Brno, 2008. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-18. Supervised by Zemčík Pavel. Available from: https://www.fit.vut.cz/study/thesis/6689/
BibTeX 
@mastersthesis{FITMT6689,
    author = "Jozef Ml\'{i}ch",
    type = "Master's thesis",
    title = "Sledov\'{a}n\'{i} objekt\r{u} ve videosekvenc\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/6689/"
}

Theses

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