… We propose an anti-UAV dataset called DUT Anti-UAV that contains detection and tracking
… the DUT Anti-UAV dataset for UAV detection and tracking. It contains two sets, namely, …

… This paper considers tracking UAVs, which provide … to as Anti-UAV, which provides a novel
direction for UAV tracking with … anti-UAV research challenges could help to design antiUAV …

… anti-UAV and delve into various detection and tracking … learning to enhance detection
accuracy and tracking performance. … of Vision-Based anti-UAV detection and tracking methods. …

… , “Monocular vision-based real-time target recognition and tracking for autonomously landing
an … Cheng and LL et al., “An autonomous vision-based target tracking system for rotorcraft …

… Vision-based approaches are more commonly adopted in … In this paper, we propose a
robust tracker named UTTracker for Anti-UAV tracking. We first design a multiregion local tracking …

… which results in missed detection and false alarms. In light of these shortcomings, this paper
proposes the YOLOv7-GS anti-UAV system target detection model through the improvement …

… performance of several vision-based detection and tracking models under … Anti-UAV Full
to the dataset containing all images regarding their modality while Anti-UAV RGB and Anti-UAV …

… Currently, there is a wide range of anti-UAV systems that … military and commercial anti-UAV
systems. Furthermore, we … , and vision-based methods for the detection and identification of …

… proposed a recognition method of the low-altitude drone detection based on the YOLOv4
(You Only Look Once version 4) model and also introduced YOLOv4 algorithm in detection low-…

… deep learning-based visual object tracking algorithms. Subsequently, we present an overview
of the current state of infrared anti-UAV tracking models. 2.1 Generic visual object tracking …