Conference paper Open Access
Drone-vs-Bird Detection Challenge at IEEE AVSS2019
Coluccia, Angelo; Fascista, Alessio; Schumann, Arne; Sommer, Lars; Ghenescu, Marian; Piatrik, Tomas; Cubber, Geert De; Nalamati, Mrunalini; Kapoor, Ankit; Saqib, Muhammad; Sharma, Nabin; Blumenstein, Michael; Magoulianitis, Vasileios; Ataloglou, Dimitrios; Dimou, Anastasios; Zarpalas, Dimitrios; Daras, Petros; Craye, Celine; Ardjoune, Salem; Iglesia, David De la; Mández, Miguel; Dosil, Raquel; González,Iago
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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- Publication date:
- November 25, 2019
- DOI:
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- Grants:
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European Commission:
- ALADDIN - Advanced hoListic Adverse Drone Detection, Identification Neutralization (740859)
- License (for files):
- Creative Commons Attribution 4.0 International