Detection of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis
09. Juli 2020
Über diesen Artikel
Online veröffentlicht: 09. Juli 2020
Seitenbereich: 5 - 13
Eingereicht: 30. März 2020
Akzeptiert: 27. Apr. 2020
DOI: https://doi.org/10.2478/sjpna-2020-0001
Schlüsselwörter
© 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 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.