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Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural
  Networks: A Performance Benchmark

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

25 March 2021
Brian K. S. Isaac-Medina
Matt Poyser
Daniel Organisciak
Chris G. Willcocks
T. Breckon
Hubert P. H. Shum
ArXivPDFHTML

Papers citing "Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark"

5 / 5 papers shown
Title
Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID
Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID
Yu-Hsi Chen
41
0
0
21 Mar 2025
YOLOMG: Vision-based Drone-to-Drone Detection with Appearance and Pixel-Level Motion Fusion
Hanqing Guo
Xiuxiu Lin
Shiyu Zhao
117
0
0
10 Mar 2025
DroBoost: An Intelligent Score and Model Boosting Method for Drone
  Detection
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection
Ogulcan Eryuksel
Kamil Anil Ozfuttu
Fatih Çagatay Akyön
Kadir Sahin
Efe Buyukborekci
Devrim Cavusoglu
S. Altinuc
24
0
0
30 Jun 2024
Sequence Models for Drone vs Bird Classification
Sequence Models for Drone vs Bird Classification
Fatih Çagatay Akyön
Erdem Akagündüz
S. Altinuc
A. Temi̇zel
19
1
0
21 Jul 2022
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
228
3,463
0
21 Mar 2017
1