Thesis Details

Rozpoznání typu střelné zbraně v obraze

Bachelor's Thesis Student: Čech Ondřej Academic Year: 2018/2019 Supervisor: Dvořák Michal, Ing.
English title
Firearm Type Identification in an Image
Language
Czech
Abstract

Main goal of this work is to design, implement and test an approach for classifying firearms in an image into categories with short and long fireams, and then with single shot, multi-barreled, repeating and semi-automatic/automatic firearms. This problem was solved using SVM classifier together with Harris corner detector, FREAK descriptor and Bag of Words method. Accuracy of final program is up to 13,3 %.

Keywords

gun, firearm, classification, image, scene, Harris, FREAK, BoW, SVM

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
not defended
Date
13 June 2019
Reviewer
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
ČECH, Ondřej. Rozpoznání typu střelné zbraně v obraze. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-13. Supervised by Dvořák Michal. Available from: https://www.fit.vut.cz/study/thesis/21744/
BibTeX 
@bachelorsthesis{FITBT21744,
    author = "Ond\v{r}ej \v{C}ech",
    type = "Bachelor's thesis",
    title = "Rozpozn\'{a}n\'{i} typu st\v{r}eln\'{e} zbran\v{e} v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21744/"
}

Theses

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