Thesis Details

Detekce objektů v obraze

Bachelor's Thesis Student: Ptáček Tomáš Academic Year: 2007/2008 Supervisor: Švub Miroslav, Ing.
English title
Object Detection in Images
Language
Czech
Abstract

This work deals with the problem of object detection in images and describes theoretical backgrounds of detection based on boosting, AdaBoost algorithm and Haar-like features as weak classifiers. Further this work engages in design and implementation of a training and detection application based on OpenCV and wxWidgets libraries. To the end it shows a training and face detection test performed in the implemented application.

Keywords

Object detection, face detection, image processing, boosting, AdaBoost, Haar-like features, OpenCV, wxWidgets.

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
11 June 2008
Reviewer
Šiler Ondřej, Ing.
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Linhart Miroslav, doc. Ing., CSc. (DCSY FIT BUT), člen
Martinek David, Ing. (DIFS FIT BUT), člen
Sochor Jiří, prof. Ing., CSc. (FI MUNI), člen
Citation
PTÁČEK, Tomáš. Detekce objektů v obraze. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-11. Supervised by Švub Miroslav. Available from: https://www.fit.vut.cz/study/thesis/6856/
BibTeX 
@bachelorsthesis{FITBT6856,
    author = "Tom\'{a}\v{s} Pt\'{a}\v{c}ek",
    type = "Bachelor's thesis",
    title = "Detekce objekt\r{u} v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/6856/"
}

Theses

Back to top