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The proposed hybrid tracker (UAVH) uses YOLO to detect the object in the first frame and recover in the cases where the tracker fails, and it uses KCF to maintain the tracking of the object. The resulting method is a hybrid tracker that embodies the advantages of both approaches.
To track the detected UAVs in real-time, a kernelized correlation filter is used. Combining these two methods provides high accuracy and speed even on onboard ...
A hybrid method for a UAV to detect and track other UAVs efficiently, using the deep learning-based YOLOv3 and YOLov3-Tiny models, which provide one of the ...
UAVH proposes hybrid method to track UAVs in real-time. For this cause, the kernelized correlation filter (KCF), which is particularly fast at tracking, is used ...
In this paper, we propose a hy- brid method for a UAV to detect and track other UAVs ef- ficiently. To detect the target UAV at the beginning of the video and ...
Jan 5, 2020 · This paper proposes a novel, hybrid vision-based system to autonomously detect and track a specific moving target, in our case an evader UAV (Unmanned Aerial ...
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To track the detected UAVs in real-time, a kernelized correlation filter is used. Combining these two methods provides high accuracy and speed even on onboard ...
Mar 20, 2023 · This paper proposes an efficient hybrid tracking method for UAVs, comprising a detector, tracker, and integrator.
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... Therefore, an approach that uses detection and tracking together has been studied to improve robustness of the tracker. For example, Saribas et al. [6] ...
A Hybrid Unscented Kalman-Continuous Ant Colony Filter (HUK-CACF) is proposed to estimate the position of the invader drone efficiently.