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