<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Tracking of small objects in any given airspace is an integral part of modern security systems. In these systems, there are embedded methods that employ the techniques based on either radio waves, or acoustic signals, or light radiation. The computer vision operation, springing from the light radiation-based technique, has prompted interest in its research. This operation has the advantage of being less expensive than radars and acoustic systems. In addition, it can solve complex security problems by detecting and tracking humans, vehicles, and flying objects. Therefore, this article evaluates the usefulness of the varying computer vision algorithms for tracking of small flying objects.</p></abstract>

Tracking of small objects in any given airspace is an integral part of modern security systems. In these systems, there are embedded methods that employ the techniques based on either radio waves, or acoustic signals, or light radiation. The computer vision operation, springing from the light radiation-based technique, has prompted interest in its research. This operation has the advantage of being less expensive than radars and acoustic systems. In addition, it can solve complex security problems by detecting and tracking humans, vehicles, and flying objects. Therefore, this article evaluates the usefulness of the varying computer vision algorithms for tracking of small flying objects.

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

Maritime Technical Journal

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

Tracking of small objects in any given airspace is an integral part of modern security systems. In these systems, there are embedded methods that employ the...

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

Online veröffentlicht: 31. Dez. 2020

Seitenbereich: 39 - 51

DOI: https://doi.org/10.2478/sjpna-2020-0014

Schlüsselwörter
unmanned aerial vehicle (UAVs), computer vision, object tracking

© 2020 Stanisław Hożyń et al., published by Sciendo

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

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

Online veröffentlicht: 31. Dez. 2020

Seitenbereich: 39 - 51

DOI: https://doi.org/10.2478/sjpna-2020-0014

Schlüsselwörterunmanned aerial vehicle (UAVs), computer vision, object tracking

© 2020 Stanisław Hożyń et al., published by Sciendo

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

Schlüsselwörter
unmanned aerial vehicle (UAVs), computer vision, object tracking