<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Detection of small objects in the airspace is a crucial task in the military. In the era of today’s unmanned aerial vehicles (UAVs) technology, many military units are exposed to recognition and observation through flying objects. They are often equipped with optoelectronic warhead making a way to collect essential and secret data of the military unit. Modern technical solutions make it possible to implement some methods facilitating detection of flying objects. A lot of them utilize computer vision techniques based on image processing algorithm. Therefore, in this article, we present an analysis of the most promising algorithm for detection of small flying objects.</p></abstract>

Detection of small objects in the airspace is a crucial task in the military. In the era of today’s unmanned aerial vehicles (UAVs) technology, many military units are exposed to recognition and observation through flying objects. They are often equipped with optoelectronic warhead making a way to collect essential and secret data of the military unit. Modern technical solutions make it possible to implement some methods facilitating detection of flying objects. A lot of them utilize computer vision techniques based on image processing algorithm. Therefore, in this article, we present an analysis of the most promising algorithm for detection of small flying objects.

Detection of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis

Faculty of Mechanical and Electrical Engineering

Maritime Technical Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Detection of small objects in the airspace is a crucial task in the military. In the era of today’s unmanned aerial vehicles (UAVs) technology, many military...

Detection of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis

Publié en ligne: 09 juil. 2020

Pages: 5 - 13

Reçu: 30 mars 2020

Accepté: 27 avr. 2020

DOI: https://doi.org/10.2478/sjpna-2020-0001

Mots clés
unmanned aerial vehicle (UAVs), computer vision, object detection

© 2020 Stanisław Hożyń et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Detection of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis

Publié en ligne: 09 juil. 2020

Pages: 5 - 13

Reçu: 30 mars 2020

Accepté: 27 avr. 2020

DOI: https://doi.org/10.2478/sjpna-2020-0001

Mots clésunmanned aerial vehicle (UAVs), computer vision, object detection

© 2020 Stanisław Hożyń et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
unmanned aerial vehicle (UAVs), computer vision, object detection