Real-Time Drone Detection and Tracking in Distorted Infrared Images
Abdelouahid Bentamou,
Abbass Zein-Eddine,
Oussama Messai
et al.
Abstract:With the increasing use of drones for various applications, their detection and tracking have become critical for ensuring safety and security. In this paper, we propose an algorithm for detecting and tracking drones from infrared (IR) images in challenging conditions such as noise and distortion. Our algorithm involves YOLOv7 for drone detection and utilizes the SORT algorithm for real-time tracking. To detect distortion in the drone images, we employed a vision transformer in parallel with a customized CNN. … Show more
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