Thesis Details
Detekce objektů na GPU
Master's Thesis
Student: Macenauer Pavel
Academic Year: 2014/2015
Supervisor: Juránek Roman, Ing., Ph.D.
English title
Object Detection on GPU
Language
Czech
Abstract
This thesis addresses the topic of object detection on graphics processing units. As a part of it, a system for object detection using NVIDIA CUDA was designed and implemented, allowing for realtime video object detection and bulk processing. Its contribution is mainly to study the options of NVIDIA CUDA technology and current graphics processing units for object detection acceleration. Also parallel algorithms for object detection are discussed and suggested.
Keywords
Object detection, Classifier, WaldBoost, Local Binary Patterns, CUDA, NVidia, Graphics Processing Unit, Realtime object detection
Department
Degree Programme
Information Technology, Field of Study
Computer Graphics and Multimedia
Files
Status
defended, grade B
Date
23 June 2015
Reviewer
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Šlapal Josef, prof. RNDr., CSc. (DADM FME BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Šlapal Josef, prof. RNDr., CSc. (DADM FME BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
MACENAUER, Pavel. Detekce objektů na GPU. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-23. Supervised by Juránek Roman. Available from: https://www.fit.vut.cz/study/thesis/16358/
BibTeX
@mastersthesis{FITMT16358, author = "Pavel Macenauer", 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/16358/" }