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

doi:10.1109/AVSS.2017.8078464

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

Robotics & Autonomous Systems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

55 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Titel	2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Plaats van productie	Lecce, Italy
Uitgeverij	Institute of Electrical and Electronics Engineers Inc.
Pagina's	1-6
Aantal pagina's	6
ISBN van elektronische versie	9781538629390
DOI's	https://doi.org/10.1109/AVSS.2017.8078464 https://doi.org/10.1109/avss.2017.8078464
Status	Gepubliceerd - 20 okt 2017
Evenement	14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 - Lecce, Italië Duur: 29 aug 2017 → 1 sep 2017

Congres

Congres	14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Land/Regio	Italië
Stad	Lecce
Periode	29/08/17 → 1/09/17

Toegang tot document

http://mecatron.rma.ac.be/pub/2017/WOSDETCpaper (1).pdf

Andere bestanden en links

Link naar publicatie in Scopus

SafeShore: System for detection of Threat Agents in Maritime Border Environment
Rabet, L. (Promotor), Basak, S. (Onderzoeker), De cubber, G. (Onderzoeker) & Doroftei, L. (Onderzoeker)
1/05/16 → 31/12/18
Project: Onderzoek › EU_Other

Citeer dit

Coluccia, A., Ghenescu, M., Piatrik, T., Cubber, G. D., Schumann, A., Sommer, L., Klatte, J., Schuchert, T., Beyerer, J., Farhadi, M., Amandi, R., Aker, C., Kalkan, S., Saqib, M., Sharma, N., Daud, S., Makkah, K., & Blumenstein, M. (2017). Drone-vs-Bird detection challenge at IEEE AVSS2017. In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 (blz. 1-6). Artikel 8078464 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2017.8078464, https://doi.org/10.1109/avss.2017.8078464

@inproceedings{fce547b8894b4bfcaeea9da21b55841c,

title = "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 results1.",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 ; Conference date: 29-08-2017 Through 01-09-2017",

year = "2017",

month = oct,

day = "20",

doi = "10.1109/AVSS.2017.8078464",

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booktitle = "2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017",

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Coluccia, A, Ghenescu, M, Piatrik, T, Cubber, GD, Schumann, A, Sommer, L, Klatte, J, Schuchert, T, Beyerer, J, Farhadi, M, Amandi, R, Aker, C, Kalkan, S, Saqib, M, Sharma, N, Daud, S, Makkah, K & Blumenstein, M 2017, Drone-vs-Bird detection challenge at IEEE AVSS2017. in 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017., 8078464, Institute of Electrical and Electronics Engineers Inc., Lecce, Italy, blz. 1-6, 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italië, 29/08/17. https://doi.org/10.1109/AVSS.2017.8078464, https://doi.org/10.1109/avss.2017.8078464

Drone-vs-Bird detection challenge at IEEE AVSS2017. / Coluccia, Angelo; Ghenescu, Marian; Piatrik, Tomas et al.
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. Lecce, Italy: Institute of Electrical and Electronics Engineers Inc., 2017. blz. 1-6 8078464.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

TY - GEN

T1 - Drone-vs-Bird detection challenge at IEEE AVSS2017

AU - Coluccia, Angelo

AU - Ghenescu, Marian

AU - Piatrik, Tomas

AU - Cubber, Geert De

AU - Schumann, Arne

AU - Sommer, Lars

AU - Klatte, Johannes

AU - Schuchert, Tobias

AU - Beyerer, Juergen

AU - Farhadi, Mohammad

AU - Amandi, Ruhallah

AU - Aker, Cemal

AU - Kalkan, Sinan

AU - Saqib, Muhammad

AU - Sharma, Nabin

AU - Daud, Sultan

AU - Makkah, Khan

AU - Blumenstein, Michael

PY - 2017/10/20

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N2 - 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.

AB - 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.

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PB - Institute of Electrical and Electronics Engineers Inc.

CY - Lecce, Italy

T2 - 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017

Y2 - 29 August 2017 through 1 September 2017

ER -

Coluccia A, Ghenescu M, Piatrik T, Cubber GD, Schumann A, Sommer L et al. Drone-vs-Bird detection challenge at IEEE AVSS2017. In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. Lecce, Italy: Institute of Electrical and Electronics Engineers Inc. 2017. blz. 1-6. 8078464 doi: 10.1109/AVSS.2017.8078464, 10.1109/avss.2017.8078464

Drone-vs-Bird detection challenge at IEEE AVSS2017

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Congres

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SafeShore: System for detection of Threat Agents in Maritime Border Environment

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