Thesis Details

Detekce objektů na GPU

Master's Thesis Student: Jurák Martin Academic Year: 2014/2015 Supervisor: Juránek Roman, Ing., Ph.D.
English title
Object Detection on GPU
Language
Czech
Abstract

This thesis is focused on the acceleration of Random Forest object detection in an image. Random Forest detector is an ensemble of independently evaluated random decision trees. This feature can be used to acceleration on graphics unit. Development and increasing performance of graphics processing units allow the use of GPU for general-purpose computing (GPGPU). The goal of this thesis is describe how to implement Random Forest method on GPU with OpenCL standard.

Keywords

Object detection, GPGPU, GPU, OpenCL, Random Forest

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Status
not defended
Date
22 June 2015
Reviewer
Hradiš Michal, Ing., Ph.D.
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
JURÁK, Martin. Detekce objektů na GPU. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-22. Supervised by Juránek Roman. Available from: https://www.fit.vut.cz/study/thesis/17074/
BibTeX 
@mastersthesis{FITMT17074,
    author = "Martin Jur\'{a}k",
    type = "Master's thesis",
    title = "Detekce objekt\r{u} na GPU",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17074/"
}

Theses

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