Published November 25, 2019 | Version v1
Conference paper Open

Drone-vs-Bird Detection Challenge at IEEE AVSS2019

  • 1. University of Salento, Lecce, Italy
  • 2. Fraunhofer IOSB, Karlsruhe, Germany
  • 3. UTI Grup, Romania
  • 4. Queen Mary University of London, London, United Kingdom
  • 5. Royal Military Academy of Belgium, Brussels, Belgium
  • 6. University of Technology Sydney, Broadway, Ultimo, Australia
  • 7. Information Technologies Institute, Centre for Research and Technology Hellas (CERTH)
  • 8. CerbAir Research Lab, Boulogne-Billancourt, France
  • 9. Gradiant - Galician Research and Development Center In Advanced Telecommunications Fonte das Abelleiras


This paper presents the second edition of the “drone-vs-bird” detection challenge, launched within the activities of the 16-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS). The challenge's goal is to detect one or more drones appearing at some point in video sequences where birds may be also present, together with motion in background or foreground.



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ALADDIN – Advanced hoListic Adverse Drone Detection, Identification Neutralization 740859
European Commission