A Video-Based Real-Time Tracking Method for Multiple UAVs in Foggy Weather

A Video-Based Real-Time Tracking Method for Multiple UAVs in Foggy Weather

Aiming at the real-time tracking problem of multiple unmanned aerial vehicles (UAVs) based on video under fog conditions, we propose a multitarget real-time tracking method that combines the Deepsort algorithm with detection based on improved dark channel defogging and improved You Only Look Once ve...

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Bibliographic Details
Main Authors: Jiashuai Dai, Ling Wu, Pikun Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
real-time tracking of multiple UAVs
dark channel defogging
YOLOv5
Deepsort
deep learning
Online Access:https://www.mdpi.com/2079-9292/11/21/3576

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