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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Place of Publication	Lecce, Italy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538629390
DOIs	https://doi.org/10.1109/AVSS.2017.8078464 https://doi.org/10.1109/avss.2017.8078464
Publication status	Published - 20 Oct 2017
Event	14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 - Lecce, Italy Duration: 29 Aug 2017 → 1 Sept 2017

Conference

Conference	14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Country/Territory	Italy
City	Lecce
Period	29/08/17 → 1/09/17

Access to Document

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

Cite this

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 (pp. 1-6). Article 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",

language = "English",

pages = "1--6",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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, pp. 1-6, 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, 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. p. 1-6 8078464.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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

Y1 - 2017/10/20

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

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. p. 1-6. 8078464 doi: 10.1109/AVSS.2017.8078464, 10.1109/avss.2017.8078464

Drone-vs-Bird detection challenge at IEEE AVSS2017

Abstract

Conference

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

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Drone-vs-Bird detection challenge at IEEE AVSS2017

Abstract

Conference

Access to Document

Other files and links

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Projects

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

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