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2019
Conference Paper
Titel

Drone-vs-bird detection challenge at IEEE AVSS 2019

Abstract
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. Submitted algorithms should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds, nor being confused by the rest of the scene. This paper reports on the challenge results on the 2019 dataset, which extends the first edition dataset provided by the SafeShore project with additional footage under different conditions.
Author(s)
Coluccia, A.
Fascista, A.
Schumann, Arne
Sommer, Lars
Ghenescu, M.
Piatrik, T.
Cubber, G. de
Nalamati, M.
Kapoor, A.
Saqib, M.
Sharma, N.
Blumenstein, M.
Magoulianitis, V.
Ataloglou, D.
Dimou, A.
Zarpalas, D.
Daras, P.
Craye, C.
Ardjoune, S.
Iglesia, D. de la
Mendez, M.
Dosil, R.
Gonzalez, I.
Hauptwerk
16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
Project(s)
SafeShore
Funder
European Commission EC
Konferenz
International Conference on Advanced Video and Signal-Based Surveillance (AVSS) 2019
Thumbnail Image
DOI
10.1109/AVSS.2019.8909876
Language
English
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