Drone-vs-bird detection challenge at IEEE AVSS2019

Angelo Coluccia; Muhammad Saqib; Nabin Sharma; Michael Blumenstein; Vasileios Magoulianitis; Dimitrios Ataloglou; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras; Celine Craye; Salem Ardjoune; Alessio Fascista; David De La Iglesia; Miguel Mendez; Raquel Dosil; Iago Gonzalez; Arne Schumann; Lars Sommer; Marian Ghenescu; Tomas Piatrik; Geert De Cubber; Mrunalini Nalamati; Ankit Kapoor

doi:10.1109/AVSS.2019.8909876

Drone-vs-bird detection challenge at IEEE AVSS2019

Angelo Coluccia, Muhammad Saqib, Nabin Sharma, Michael Blumenstein, Vasileios Magoulianitis, Dimitrios Ataloglou, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras, Celine Craye, Salem Ardjoune, Alessio Fascista, David De La Iglesia, Miguel Mendez, Raquel Dosil, Iago Gonzalez, Arne Schumann, Lars Sommer, Marian Ghenescu, Tomas PiatrikGeert De Cubber, Mrunalini Nalamati, Ankit Kapoor

Robotics & Autonomous Systems

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

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.

Original language	English
Title of host publication	2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728109909
DOIs	https://doi.org/10.1109/AVSS.2019.8909876
Publication status	Published - Sept 2019
Event	16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019 - Taipei, Taiwan, Province of China Duration: 18 Sept 2019 → 21 Sept 2019

Publication series

Name	2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019

Conference

Conference	16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
Country/Territory	Taiwan, Province of China
City	Taipei
Period	18/09/19 → 21/09/19

Access to Document

10.1109/AVSS.2019.8909876

Cite this

Coluccia, A., Saqib, M., Sharma, N., Blumenstein, M., Magoulianitis, V., Ataloglou, D., Dimou, A., Zarpalas, D., Daras, P., Craye, C., Ardjoune, S., Fascista, A., De La Iglesia, D., Mendez, M., Dosil, R., Gonzalez, I., Schumann, A., Sommer, L., Ghenescu, M., ... Kapoor, A. (2019). Drone-vs-bird detection challenge at IEEE AVSS2019. In 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019 Article 8909876 (2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2019.8909876

Coluccia, Angelo ; Saqib, Muhammad ; Sharma, Nabin et al. / Drone-vs-bird detection challenge at IEEE AVSS2019. 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019).

@inproceedings{a013350c515249caac447060e1bc8920,

title = "Drone-vs-bird detection challenge at IEEE AVSS2019",

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 = "Angelo Coluccia and Muhammad Saqib and Nabin Sharma and Michael Blumenstein and Vasileios Magoulianitis and Dimitrios Ataloglou and Anastasios Dimou and Dimitrios Zarpalas and Petros Daras and Celine Craye and Salem Ardjoune and Alessio Fascista and \{De La Iglesia\}, David and Miguel Mendez and Raquel Dosil and Iago Gonzalez and Arne Schumann and Lars Sommer and Marian Ghenescu and Tomas Piatrik and \{De Cubber\}, Geert and Mrunalini Nalamati and Ankit Kapoor",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019 ; Conference date: 18-09-2019 Through 21-09-2019",

year = "2019",

month = sep,

doi = "10.1109/AVSS.2019.8909876",

language = "English",

series = "2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019",

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

booktitle = "2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019",

}

Coluccia, A, Saqib, M, Sharma, N, Blumenstein, M, Magoulianitis, V, Ataloglou, D, Dimou, A, Zarpalas, D, Daras, P, Craye, C, Ardjoune, S, Fascista, A, De La Iglesia, D, Mendez, M, Dosil, R, Gonzalez, I, Schumann, A, Sommer, L, Ghenescu, M, Piatrik, T, De Cubber, G, Nalamati, M & Kapoor, A 2019, Drone-vs-bird detection challenge at IEEE AVSS2019. in 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019., 8909876, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019, Institute of Electrical and Electronics Engineers Inc., 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019, Taipei, Taiwan, Province of China, 18/09/19. https://doi.org/10.1109/AVSS.2019.8909876

Drone-vs-bird detection challenge at IEEE AVSS2019. / Coluccia, Angelo; Saqib, Muhammad; Sharma, Nabin et al.
2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8909876 (2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019).

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

TY - GEN

T1 - Drone-vs-bird detection challenge at IEEE AVSS2019

AU - Coluccia, Angelo

AU - Saqib, Muhammad

AU - Sharma, Nabin

AU - Blumenstein, Michael

AU - Magoulianitis, Vasileios

AU - Ataloglou, Dimitrios

AU - Dimou, Anastasios

AU - Zarpalas, Dimitrios

AU - Daras, Petros

AU - Craye, Celine

AU - Ardjoune, Salem

AU - Fascista, Alessio

AU - De La Iglesia, David

AU - Mendez, Miguel

AU - Dosil, Raquel

AU - Gonzalez, Iago

AU - Schumann, Arne

AU - Sommer, Lars

AU - Ghenescu, Marian

AU - Piatrik, Tomas

AU - De Cubber, Geert

AU - Nalamati, Mrunalini

AU - Kapoor, Ankit

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

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DO - 10.1109/AVSS.2019.8909876

M3 - Conference contribution

AN - SCOPUS:85076343206

T3 - 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019

BT - 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019

Y2 - 18 September 2019 through 21 September 2019

ER -

Coluccia A, Saqib M, Sharma N, Blumenstein M, Magoulianitis V, Ataloglou D et al. Drone-vs-bird detection challenge at IEEE AVSS2019. In 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8909876. (2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019). doi: 10.1109/AVSS.2019.8909876

Drone-vs-bird detection challenge at IEEE AVSS2019

Abstract

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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 AVSS2019

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Projects

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

Cite this