Thesis Details

Sledování obličeje v reálném čase

Bachelor's Thesis Student: Ermak Aleksei Academic Year: 2018/2019 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Real-Time Face Tracking
Language
Czech
Abstract

This bachelor thesis focuses on the issue of face tracking in real time. In the beginning, this work describes the existing methods of object tracking and face detection. The following part of this thesis concentrates on the design, implementation and testing of the convolutional neural network, which was proved as the effective solution for the face tracking issue. In addition to this, the implemented network is compared to those existing methods. The last part of the thesis describes the optimization of the designed network using OpenVINO toolkit provided by Intel.

Keywords

face tracking, face detection, object tracking, convolutional neural networks

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
11 June 2019
Reviewer
Špaňhel Jakub, Ing.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
ERMAK, Aleksei. Sledování obličeje v reálném čase. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/22023/
BibTeX 
@bachelorsthesis{FITBT22023,
    author = "Aleksei Ermak",
    type = "Bachelor's thesis",
    title = "Sledov\'{a}n\'{i} obli\v{c}eje v re\'{a}ln\'{e}m \v{c}ase",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22023/"
}

Theses

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