Thesis Details

Konvoluční neuronové sítě pro bezpečnostní aplikace

Bachelor's Thesis Student: Kišš Martin Academic Year: 2015/2016 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Convolutional Neural Networks for Security Applications
Language
Czech
Abstract

This thesis deals with design and implementation of application for person recognition in security camera. For single face rocongition are used convolutional neural networks, which creates representation of the face, and k-nearest neighbours algorithm for classification. For recognition of sequence of faces there are three algorithms implemented. On test data success of recognition reached nearly 75 %.

Keywords

Face recognition, security cameras, image processing, neuron, convolutional neural networks, k-nearest neighbours.

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
13 June 2016
Reviewer
Hradiš Michal, Ing., Ph.D.
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
KIŠŠ, Martin. Konvoluční neuronové sítě pro bezpečnostní aplikace. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-13. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/18704/
BibTeX 
@bachelorsthesis{FITBT18704,
    author = "Martin Ki\v{s}\v{s}",
    type = "Bachelor's thesis",
    title = "Konvolu\v{c}n\'{i} neuronov\'{e} s\'{i}t\v{e} pro bezpe\v{c}nostn\'{i} aplikace",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18704/"
}

Theses

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