Thesis Details

Rozpoznávání objektů a gest v obraze

Master's Thesis Student: Johanová Daniela Academic Year: 2014/2015 Supervisor: Zemčík Pavel, prof. Dr. Ing.
English title
Recognition of Objects and Gestures in Image
Language
Czech
Abstract

This thesis is focused on gesture recognition in video. The main purpose of this thesis was to create an algorithm and an application that can recognize selected gestures using a~video obtained through a~standard webcamera. The intention was to control an application program, such as video player. The approach used to achieve this goal was to exploit methods of feature extraction, tracking, and machine learning.

Keywords

Gestures, machine learning, HMM, Adaboost, hand tracking, skin detection, VLC control.

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade C
Date
22 June 2015
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Hrdina Jaroslav, doc. Mgr., Ph.D. (DADM FME BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
JOHANOVÁ, Daniela. Rozpoznávání objektů a gest v obraze. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-22. Supervised by Zemčík Pavel. Available from: https://www.fit.vut.cz/study/thesis/7226/
BibTeX
@mastersthesis{FITMT7226,
    author = "Daniela Johanov\'{a}",
    type = "Master's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} objekt\r{u} a gest v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/7226/"
}
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