Drone-vs-Bird Detection Grand Challenge at ICASSP2023
Angelo Coluccia, Alessio Fascista, Lars Sommer, Arne Schumann, Anastasios Dimou, Dimitrios Zarpalas, Nabin Sharma
Abstract
This paper presents the 6th edition of the "Drone-vs-Bird" Detection Grand Challenge, organized within the 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Taking video samples recorded by commercial RGB cameras as input, the challenge stimulates the design of advanced approaches capable of detecting the presence of small drones flying in a given area under surveillance. Successful methods should ensure high detection rates while limiting the number of false alarms erroneously triggered in presence of very similar false targets (birds). The paper summarizes the novel methods proposed by the four participating teams that succeeded in providing satisfactory detection performance on the 2023 challenge dataset.
BibTeX
@inproceedings{icassp2023_dronevsbirddetec,
title = {Drone-vs-Bird Detection Grand Challenge at ICASSP2023},
author = {Angelo Coluccia and Alessio Fascista and Lars Sommer and Arne Schumann and Anastasios Dimou and Dimitrios Zarpalas and Nabin Sharma},
booktitle = {ICASSP 2023},
year = {2023}
}