Thesis Details
Protidronová ochrana perimetru
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work, problematics and state-of-the-art methods for object detection in a video captured by moving camera. Further I proposed a system for a drone or a flock of drones detection and localization. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. I implemented the system with library OpenCV with possible acceleration of algorithm with GPU via OpenCL. I tested the created solution on both a video and a video camera output.
object detection, convolutional neural networks, SSD, TensorFlow, drone, UAV, video surveillance, OpenCV, security threats, moving camera
Fusek Michal, Ing., Ph.D. (DMAT FEEC BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT21617,
author = "Roman Jan\'{i}k",
type = "Bachelor's thesis",
title = "Protidronov\'{a} ochrana perimetru",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/21617/"
}