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research article

Real-time high-resolution omnidirectional imaging platform for drone detection and tracking

Demir, Bilal  
•
Ergunay, Selman  
•
Nurlu, Gokcen
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2020
Journal Of Real-Time Image Processing

Drones have become steadily affordable, which raises privacy and security concerns as well as interest in drone detection systems. On the other hand, drone detection is a challenging task due to small dimensions of drones, difficulty of long-distance detection, strict real-time constraints and necessity of wide angle coverage for drones. Although different radar and audio-assisted drone detection systems have been presented, they suffer from the cost, range, or interference problems. On the contrary, a long-range detection can be obtained by a vision-based system. Aiming that, we propose a real-time moving object detection and tracking system optimized for drone detection using 16 cameras with 20 MP resolution. The proposed system detects drones from short range and long range with 360 degrees surveillance coverage owing high-performance ultra-high-resolution (320 MP) video-processing capability. It is able to detect drones with 100 cm diameter from 700 m distance despite deceptive background. It is interference free, so multiple systems can properly operate in the vicinity without effecting each other. It integrates processing power of embedded systems with flexibility of software to generate a full platform for drone detection and tracking.

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Type
research article
DOI
10.1007/s11554-019-00921-7
Web of Science ID

WOS:000492927400002

Author(s)
Demir, Bilal  
•
Ergunay, Selman  
•
Nurlu, Gokcen
•
Popovic, Vladan  
•
Ott, Beat
•
Wellig, Peter
•
Thiran, Jean-Philippe  
•
Leblebici, Yusuf  
Date Issued

2020

Publisher

SPRINGER HEIDELBERG

Published in
Journal Of Real-Time Image Processing
Volume

17

Start page

1625

End page

1635

Subjects

Computer Science, Artificial Intelligence

•

Engineering, Electrical & Electronic

•

Imaging Science & Photographic Technology

•

Computer Science

•

Engineering

•

panorama

•

background subtraction

•

high resolution

•

moving object detection

•

embedded system

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

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LTS5  
Available on Infoscience
November 12, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/162859
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