Generic Fourier Descriptors for Autonomous UAV Detection

Eren Unlu, Emmanuel Zenou, Nicolas Riviere

2018

Abstract

With increasing number of Unmanned Aerial Vehicles (UAVs) -also known as drones- in our lives, safety and privacy concerns have arose. Especially, strategic locations such as governmental buildings, nuclear power stations etc. are under direct threat of these publicly available and easily accessible gadgets. Various methods are proposed as counter-measure, such as acoustics based detection, RF signal interception, micro-doppler RADAR etc. Computer vision based approach for detecting these threats seems as a viable solution due to various advantages. We envision an autonomous drone detection and tracking system for the protection of strategic locations. In this work, 2-dimensional scale, rotation and translation invariant Generic Fourier Descriptor (GFD) features (which are analyzed with a neural network) are used for classifying aerial targets as a drone or bird. For the training of this system, a large dataset composed of birds and drones is gathered from open sources. We have achieved up to 85.3% overall correct classification rate.

Paper Citation

in Harvard Style

Unlu E., Zenou E. and Riviere N. (2018). Generic Fourier Descriptors for Autonomous UAV Detection.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 550-554. DOI: 10.5220/0006680105500554

in Bibtex Style

@conference{icpram18,
author={Eren Unlu and Emmanuel Zenou and Nicolas Riviere},
title={Generic Fourier Descriptors for Autonomous UAV Detection},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={550-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006680105500554},
isbn={978-989-758-276-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Generic Fourier Descriptors for Autonomous UAV Detection
SN - 978-989-758-276-9
AU - Unlu E.
AU - Zenou E.
AU - Riviere N.
PY - 2018
SP - 550
EP - 554
DO - 10.5220/0006680105500554