A Preliminary Study on the Automatic Visual based Identification of UAV Pilots from Counter UAVs

Dario Cazzato, Claudio Cimarelli, Holger Voos

2020

Abstract

Two typical Unmanned Aerial Vehicles (UAV) countermeasures involve the detection and tracking of the UAV position, as well as of the human pilot; they are of critical importance before taking any countermeasure, and they already obtained strong attention from national security agencies in different countries. Recent advances in computer vision and artificial intelligence are already proposing many visual detection systems from an operating UAV, but they do not focus on the problem of the detection of the pilot of another approaching unauthorized UAV. In this work, a first attempt of proposing a full autonomous pipeline to process images from a flying UAV to detect the pilot of an unauthorized UAV entering a no-fly zone is introduced. A challenging video sequence has been created flying with a UAV in an urban scenario and it has been used for this preliminary evaluation. Experiments show very encouraging results in terms of recognition, and a complete dataset to evaluate artificial intelligence-based solution will be prepared.

Paper Citation

in Harvard Style

Cazzato D., Cimarelli C. and Voos H. (2020). A Preliminary Study on the Automatic Visual based Identification of UAV Pilots from Counter UAVs. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 582-589. DOI: 10.5220/0009355605820589

in Bibtex Style

@conference{visapp20,
author={Dario Cazzato and Claudio Cimarelli and Holger Voos},
title={A Preliminary Study on the Automatic Visual based Identification of UAV Pilots from Counter UAVs},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={582-589},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009355605820589},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - A Preliminary Study on the Automatic Visual based Identification of UAV Pilots from Counter UAVs
SN - 978-989-758-402-2
AU - Cazzato D.
AU - Cimarelli C.
AU - Voos H.
PY - 2020
SP - 582
EP - 589
DO - 10.5220/0009355605820589
PB - SciTePress