Jul 21, 2022 · As experiments show, using sequence information, bird classification and overall F1 scores can be increased by up to 73% and 35%, respectively.
Apr 3, 2024 · As experiments show, using sequence information, bird classification and overall F1 scores can be increased by up to 73% and 35%, respectively.
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In this work, we propose several sequence classification architectures to reduce the detected false-positive ratio of drone tracks.
In this work, we propose several sequence classification architectures to reduce the detected false-positive ratio of drone tracks. Moreover, we propose a new ...
Apr 6, 2024 · For example, drones can be used in traffic and weather monitoring, smart agriculture monitoring, defense, e-commerce, logistics, ...
For the Drone-vs-Bird Detection Challenge 2021, 77 different video sequences have been made available as training data.
Sequence Models for Drone vs Bird Classification ; Date. 2023-11-15 ; Author. Akyön, Fatih Çağatay Akagündüz, Erdem Altınuç, Sinan Onur Temizel, Alptekin.
May 18, 2023 · This paper investigates the use of micro-Doppler spectrogram signatures of flying targets, such as drones and birds, to aid in their remote classification.
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We present a dataset consisting of images of drones and birds operating in various environments. This dataset will serve as a valuable resource for researchers ...
An alternative method of identifying and classifying UAVs from birds in near fields based on the flight paths and trajectories is presented in the literature [ ...