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Drone-vs-Bird detection challenge at IEEE AVSS2017

  • Angelo Coluccia
  • , Marian Ghenescu
  • , Tomas Piatrik
  • , Geert De Cubber
  • , Arne Schumann
  • , Lars Sommer
  • , Johannes Klatte
  • , Tobias Schuchert
  • , Juergen Beyerer
  • , Mohammad Farhadi
  • , Ruhallah Amandi
  • , Cemal Aker
  • , Sinan Kalkan
  • , Muhammad Saqib
  • , Nabin Sharma
  • , Sultan Daud
  • , Khan Makkah
  • , Michael Blumenstein

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

55 Zitate (Scopus)

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 results1.

OriginalspracheEnglisch
Titel2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
ErscheinungsortLecce, Italy
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1-6
Seitenumfang6
ISBN (elektronisch)9781538629390
DOIs
PublikationsstatusVeröffentlicht - 20 Okt. 2017
Veranstaltung14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 - Lecce, Italien
Dauer: 29 Aug. 2017 → 1 Sept. 2017

Konferenz

Konferenz14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Land/GebietItalien
OrtLecce
Zeitraum29/08/17 → 1/09/17

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