Thesis Details
Tracking People in Video Captured from a Drone
This thesis deals with the problem of determining the location of a person through their distance from camera 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 of the tracking. This means overcoming challenges such as object detection, re-identification of persons in time, estimating object distance from the camera and processing data from various sensors. Then, I am using these 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.
image processing, image recognition, object detection, tracking, drone, video surveillance, distance estimation, Intel Movidius, INCS, Raspberry Pi, YOLO
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), člen
@mastersthesis{FITMT23952,
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 = 2021,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/23952/"
}