Thesis Details

Rychlá detekce přírodních objektů

Bachelor's Thesis Student: Zelinka Martin Academic Year: 2015/2016 Supervisor: Šimon Martin, Ing.
English title
Fast Detection of Natural Objects
Language
Czech
Abstract
Thesis deals with the detection and localization of dogs in the image. It analyzes computer vision techniques suitable for solving this problem. It is designed and then implemented solution. Data set of images representing the object of the search and the data set of negative images are created. The resulting solution is finally subjected to training in order to determine the best parameters for used algorithms. The resulting program is included in the attached DVD.
Keywords

Computer vision, Recognition, Natural objects, Lacalization

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
14 June 2016
Reviewer
Bartl Vojtěch, Ing.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
ZELINKA, Martin. Rychlá detekce přírodních objektů. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-14. Supervised by Šimon Martin. Available from: https://www.fit.vut.cz/study/thesis/18559/
BibTeX 
@bachelorsthesis{FITBT18559,
    author = "Martin Zelinka",
    type = "Bachelor's thesis",
    title = "Rychl\'{a} detekce p\v{r}\'{i}rodn\'{i}ch objekt\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18559/"
}

Theses

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