Drone/Bird Classification Based on Features of Tracks Trajectories

This paper presents the outcome of several machine learning techniques used for the task of bird/drone classification based on their tracks. Instead of using static images, the dynamics and features extracted from the trajectories captured in videos are used to provide a more accurate and reliable r...

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Bibliographic Details
Main Author: Kengeskanov, Maksat (author)
Other Authors: Seghrouchni, Amal El Fallah (author), Abu Zitar, Raed (author), Barbaresco, Frederic (author)
Published: 2023
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Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1407
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