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2017
Conference Paper
Titel

Drone-vs-Bird detection challenge at IEEE AVSS2017

Abstract
Small drones are a rising threat due to their possible misuse for illegal activities, in particular smuggling and terrorism. The project SafeShore, funded by the European Commission under the Horizon 2020 program, has launched the 'drone-vs-bird detection challenge' to address one of the many technical issues arising in this context. The goal is to detect a drone appearing at some point in a video where birds may be also present: the algorithm should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds. This paper reports on the challenge proposal, evaluation, and results.
Author(s)
Coluccia, A.
Ghenescu, M.
Piatrik, T.
Cubber, G. de
Schumann, A.
Sommer, L.
Klatte, J.
Schuchert, Tobias
Beyerer, Jürgen
Farhadi, M.
Amandi, R.
Aker, C.
Kalkan, S.
Saqib, M.
Sharma, N.
Daud, S.
Makkah, K.
Blumenstein, M.
Hauptwerk
14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Project(s)
SafeShore
Funder
European Commission EC
Konferenz
International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2017
DOI
10.1109/AVSS.2017.8078464
File(s)
N-481904.pdf (2.92 MB)
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • bird detection

  • illegal activity

  • position estimates

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