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  4. Drone-vs-Bird Detection Challenge at ICIAP 2021
 
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2022
Conference Paper
Titel

Drone-vs-Bird Detection Challenge at ICIAP 2021

Abstract
This paper reports the results of the 5th edition of the “Drone-vs-Bird” detection challenge, organized within the 21st International Conference on Image Analysis and Processing (ICIAP). By taking as input video samples recorded by common cameras, the aim of the challenge is to devise advanced approaches aimed at spotlighting the presence of drones flying in the monitored area, while limiting the number of wrong alarms raised when similar flying entities such as birds suddenly appear in the scene. To this end, a number of important issues such as the dynamic variations in the scene and the background/foreground motion effects should be carefully considered, so as to allow the proposed solutions to correctly identify drones only when they are actually present. The paper summarizes the novel algorithms proposed by the four participating teams that succeeded in providing satisfactory detection performance on the 2022 challenge dataset.
Author(s)
Coluccia, Angelo
Fascista, Alessio
Schumann, Arne
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Sommer, Lars Wilko
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Dimou, Anastasios
Zarpalas, Dimitrios
Sharma, Nabin
Nalamati, Mrunalini
Eryuksel, Ogulcan
Ozfuttu, Kamil Anil
Akyon, Fatih Cagatay
Sahin, Kadir
Buyukborekci, Efe
Cavusoglu, Devrim
Altinuc, Sinan
Xing, Daitao
Unlu, Halil Utku
Evangeliou, Nikolaos
Tzes, Anthony
Nayak, Abhijeet
Bouazizi, Mondher
Ahmad, Tasweer
Gonçalves, Artur
Rigault, Bastien
Jain, Raghvendra
Matsuo, Yutaka
Prendinger, Helmut
Jajaga, Edmond
Rushiti, Veton
Ramadani, Blerant
Pavleski, Daniel
Hauptwerk
Image Analysis and Processing. ICIAP 2022 Workshops
Konferenz
International Conference on Image Analysis and Processing 2022
Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques 2022
Thumbnail Image
DOI
10.1007/978-3-031-13324-4_35
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • Drone detection

  • Deep learning

  • Image and video signal processing

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