Detection and Tracking of Moving UAVs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU134547" target="_blank" >RIV/00216305:26220/19:PU134547 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9017351" target="_blank" >https://ieeexplore.ieee.org/document/9017351</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PIERS-Spring46901.2019.9017351" target="_blank" >10.1109/PIERS-Spring46901.2019.9017351</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection and Tracking of Moving UAVs

Popis výsledku v původním jazyce

Detection and recognition of moving objects can provide an effective defense mech-anism for critical infrastructure, airports, government, power stations, and other locations. It is used to increase the security of an internal perimeter with respect to the implementation of defense against the moving UAV (Unmanned Aerial Vehicle). With the rapid growth of the UAV, a very often discussed topic has become defense against unmanned vehicles. Their early detection and destruction can prevent the occurrence of undesirable situations. A camera located on another unmanned vehicle that protects a space will allow detecting and recognizing unwanted targets, and then tracking movements at the best time eliminates further movement of the detected device by release the net. Object detection and recognition are used to find, identify, and categorize moving objects in images and videos. This paper presents comprehensive set of algorithms and tools for detecting and recognizing moving objects. We use the System Toolkit. It is a set of several machine learning, functional and motion techniques for detecting and recognizing objects.

Název v anglickém jazyce

Detection and Tracking of Moving UAVs

Popis výsledku anglicky

Detection and recognition of moving objects can provide an effective defense mech-anism for critical infrastructure, airports, government, power stations, and other locations. It is used to increase the security of an internal perimeter with respect to the implementation of defense against the moving UAV (Unmanned Aerial Vehicle). With the rapid growth of the UAV, a very often discussed topic has become defense against unmanned vehicles. Their early detection and destruction can prevent the occurrence of undesirable situations. A camera located on another unmanned vehicle that protects a space will allow detecting and recognizing unwanted targets, and then tracking movements at the best time eliminates further movement of the detected device by release the net. Object detection and recognition are used to find, identify, and categorize moving objects in images and videos. This paper presents comprehensive set of algorithms and tools for detecting and recognizing moving objects. We use the System Toolkit. It is a set of several machine learning, functional and motion techniques for detecting and recognizing objects.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GA17-00607S" target="_blank" >GA17-00607S: Komplexní umělé elektromagnetické struktury a nanostruktury</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 Progress in Electromagnetics Research Symposium (PIERS-Rome)

ISBN

978-1-7281-3403-1

ISSN

1559-9450

e-ISSN

—

Počet stran výsledku

5

Strana od-do

2759-2763

Název nakladatele

IEEE

Místo vydání

Rome, Italy

Místo konání akce

Řím

Datum konání akce

17. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000550769302124