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  4. Drone-vs-Bird Detection Challenge at IEEE AVSS2021
 
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2021
  • Konferenzbeitrag

Titel

Drone-vs-Bird Detection Challenge at IEEE AVSS2021

Abstract
This paper presents the 4-th edition of the ""drone-vs-bird"" detection challenge, launched in conjunction with the the 17-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS). The objective of the challenge is to tackle the problem of detecting the presence of one or more drones in video scenes where birds may suddenly appear, taking into account some important effects such as the background and foreground motion. The proposed solutions should identify and localize drones in the scene only when they are actually present, without being confused by the presence of birds and the dynamic nature of the captured scenes. The paper illustrates the results of the challenge on the 2021 dataset, which has been further extended compared to the previous edition run in 2020.
Author(s)
Coluccia, Angelo
Fascista, Alessio
Schumann, Arne
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Sommer, Lars
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Dimou, Anastasios T.
Zarpalas, Dimitrios
Akyon, Fatih Cagatay
Eryuksel, Ogulcan
Ozfuttu, Kamil Anil
Altinuc, Sinan Onur
Dadboud, Fardad
Patel, Vaibhav
Mehta, Varun
Bolic, Miodrag
Mantegh, Iraj
Hauptwerk
AVSS 2021, 17th IEEE International Conference on Advanced Video and Signal-Based Surveillance
Konferenz
International Conference on Advanced Video and Signal-Based Surveillance (AVSS) 2021
Thumbnail Image
DOI
10.1109/AVSS52988.2021.9663844
Language
Englisch
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