Thesis Details

Detekce graffiti tagů v obraze

Bachelor's Thesis Student: Pavlica Jan Academic Year: 2016/2017 Supervisor: Špaňhel Jakub, Ing.
English title
Detection of Graffiti Tags in Image
Language
Czech
Abstract

The thesis is focused on the possible utilization of current methods in the area of computer vision with the purpose of automatic detection of graffiti tags in the image. Graffiti tagsare the most common expression of graffiti, which serves as the author’s signature. In the thesis, state-of-the-art detection systems were tested; the most effective one is the Single Shot MultiBox Detector. The result has reached 75.7% AP.

Keywords

graffiti tags, object detection, convolutional neural networks, YOLOv2, Tiny YOLO, You Look Only Once, SSD, Single Shot MultiBox Detector, Faster R-CNN

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
12 June 2017
Reviewer
Hradiš Michal, Ing., Ph.D.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
PAVLICA, Jan. Detekce graffiti tagů v obraze. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-12. Supervised by Špaňhel Jakub. Available from: https://www.fit.vut.cz/study/thesis/19524/
BibTeX 
@bachelorsthesis{FITBT19524,
    author = "Jan Pavlica",
    type = "Bachelor's thesis",
    title = "Detekce graffiti tag\r{u} v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19524/"
}

Theses

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