Detection of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis
Jul 09, 2020
About this article
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
© 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.