<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

Published Online: Jul 09, 2020

Page range: 5 - 13

Received: Mar 30, 2020

Accepted: Apr 27, 2020

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

Keywords
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

Published Online: Jul 09, 2020

Page range: 5 - 13

Received: Mar 30, 2020

Accepted: Apr 27, 2020

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

Keywordsunmanned 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.

Keywords
unmanned aerial vehicle (UAVs), computer vision, object detection