Thesis Details

Tracking People in Video Captured from a Drone

Master's Thesis Student: Lukáč Jakub Academic Year: 2019/2020 Supervisor: Goldmann Tomáš, Ing., Ph.D.
Czech title
Sledování osob v záznamu z dronu
Language
English
Abstract

This thesis deals with the problem of determining the location of a person and its approximation. The location is derived from video which is captured using a drone. The goal here is to propose and test existing solutions and state-of-the-art algorithms for each encountered subproblem. This means overcoming challenges such as object detection, re-identification of persons in time, estimating object distance from camera and processing data from various sensors. Then, I am using the methods to design the final solution which can operate in nearly real-time. Implementation is based on the use of Intel NCS accelerator unit with the cooperation of small computer Raspberry Pi. Therefore, the setup may be easily mounted directly to a drone. The resulting application can generate tracking metadata for detected individuals in the recording. Afterwards, the positions are visualised as paths for better end-user presentation.

Keywords

image processing, image recognition, object detection, tracking, drone, distance estimation, Intel Movidius, Raspberry Pi, YOLO

Department
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
not defended
Date
16 July 2020
Reviewer
Committee
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Citation
LUKÁČ, Jakub. Tracking People in Video Captured from a Drone. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-16. Supervised by Goldmann Tomáš. Available from: https://www.fit.vut.cz/study/thesis/23056/
BibTeX
@mastersthesis{FITMT23056,
    author = "Jakub Luk\'{a}\v{c}",
    type = "Master's thesis",
    title = "Tracking People in Video Captured from a Drone",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/23056/"
}
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