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

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Résumé

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.

langue originaleAnglais
titre2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
EditeurInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)9781728109909
Les DOIs
étatPublié - sept. 2019
Evénement16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019 - Taipei, Taiwan
Durée: 18 sept. 201921 sept. 2019

Série de publications

Nom2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019

Une conférence

Une conférence16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
Pays/TerritoireTaiwan
La villeTaipei
période18/09/1921/09/19

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