The MUSAK method detects drones from uncontrolled backgrounds by exploiting multiscale kinematic parameters extracted from input videos. The kinematic parameters here consist of the translation parameters (translation velocity and acceleration) and rotation parameters (angular velocity and acceleration).
Mar 16, 2022
Abstract: Accurate and robust drone detection is an important and challenging task. However, on this issue, previous research, whether based on appearance ...
The manuscript titled “MUSAK: A Multi-Scale Space Kinematic Method for Drone Detection” represents an outstanding and well prepared scientific paper. The idea ...
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To address this topic, we propose a method that automates drone detection processes using their acoustic characteristics with different machine learning ...
The authors in [9] used a motion-based method called Multi-Scale Space Kinematic detection method (MUSAK), it fully exploits motion models by extracting 3D, ...
Experimental analysis demonstrates that the proposed method is promising in drone detection. ... MUSAK: A Multi-Scale Space Kinematic Method for Drone Detection.
Sep 27, 2023 · MUSAK: A Multi-Scale Space Kinematic Method for Drone Detection. ... A Vaginitis Classification Method Based on Multi-Spectral Image Feature ...
Apr 30, 2024 · This approach may not yield optimal results for extreme cases of distortion, camouflage, and tiny objects in real-world drone-to-drone detection ...
Dec 26, 2023 · In [44], the authors suggested a compressively sensed RF-signal-based multi-stage deep learning approach for UAV detection and identification.