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  4. Drone-vs-Bird Detection Grand Challenge at ICASSP2023
 
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2023
Conference Paper
Title

Drone-vs-Bird Detection Grand Challenge at ICASSP2023

Abstract
This paper presents the 6th edition of the "Drone-vs-Bird" Detection Grand Challenge, organized within the 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Taking video samples recorded by commercial RGB cameras as input, the challenge stimulates the design of advanced approaches capable of detecting the presence of small drones flying in a given area under surveillance. Successful methods should ensure high detection rates while limiting the number of false alarms erroneously triggered in presence of very similar false targets (birds). The paper summarizes the novel methods proposed by the four participating teams that succeeded in providing satisfactory detection performance on the 2023 challenge dataset.
Author(s)
Coluccia, Angelo
Fascista, Alessio
Sommer, Lars Wilko  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Schumann, Arne  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Dimou, Anastasios
Zarpalas, Dimitrios
Sharma, Nabin
Mainwork
ICASSP 2023, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings  
Conference
International Conference on Acoustics, Speech, and Signal Processing 2023  
DOI
10.1109/icassp49357.2023.10433921
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Drone detection

  • Deep learning

  • Image and video signal processing

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