Thesis Details

Sledování pohybu míče ve videu

Master's Thesis Student: Motlík Matúš Academic Year: 2018/2019 Supervisor: Bartl Vojtěch, Ing.
English title
Ball Tracking in Sports Video
Language
Czech
Abstract

This master's thesis deals with automatic detection and tracking of a soccer ball in sports videos. Based on the introduced techniques focusing on tracking of small objects in high-resolution videos, effective convolutional neural networks are designed and used by a modified version of tracking algorithm SORT for automatic object detection. A set of experiments with the processing of images in different resolutions and with various frequencies of detection extraction is carried out in order to examine the trade-off between processing speed and tracking accuracy. The obtained results of experiments are presented and used to form proposals for future work, which could lead to improvements in tracking accuracy while maintaining reasonable processing speed.

Keywords

object detection, object tracking, soccer, machine learning, deep neural networks

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
19 June 2019
Reviewer
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Burget Radim, Doc. Ing., Ph.D. (UTKO FEEC BUT), člen
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
MOTLÍK, Matúš. Sledování pohybu míče ve videu. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-19. Supervised by Bartl Vojtěch. Available from: https://www.fit.vut.cz/study/thesis/21630/
BibTeX
@mastersthesis{FITMT21630,
    author = "Mat\'{u}\v{s} Motl\'{i}k",
    type = "Master's thesis",
    title = "Sledov\'{a}n\'{i} pohybu m\'{i}\v{c}e ve videu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21630/"
}
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