Thesis Details

Sledování objektů v panoramatickém videu

Master's Thesis Student: Ambrož Vít Academic Year: 2020/2021 Supervisor: Čadík Martin, doc. Ing., Ph.D.
English title
Object Tracking in Panoramic Video
Language
Czech
Abstract

The master thesis maps the state of the art of visual object tracking in panoramic 360° video. The thesis aims to reveal the main problems related to visual object tracking and moreover focuses on their solution in panoramic videos. In the study of the existing approaches was found that very few solutions of visual object tracking in equirectangular projection of panoramic video have been implemented so far. This thesis therefore presents two improvements of object tracking methods that are based on the adaptation of equirectangular frames. In addition, this thesis brings the manually created dataset of panoramic videos with more than 9900 annotations. Finally the detailed evaluation of 12 well known and state of the art trackers has been performed for this new dataset.

Keywords

360° video, panoramic video, spherical video, object tracking, panoramic projections, OpenCV

Department
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade B
Date
22 June 2021
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Polčák Libor, Ing., Ph.D. (DIFS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
AMBROŽ, Vít. Sledování objektů v panoramatickém videu. Brno, 2021. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-22. Supervised by Čadík Martin. Available from: https://www.fit.vut.cz/study/thesis/24031/
BibTeX
@mastersthesis{FITMT24031,
    author = "V\'{i}t Ambro\v{z}",
    type = "Master's thesis",
    title = "Sledov\'{a}n\'{i} objekt\r{u} v panoramatick\'{e}m videu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24031/"
}
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