Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark

BKS Isaac-Medina, M Poyser… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

The unmanned aerial vehicle benchmark: Object detection and tracking

D Du, Y Qi, H Yu, Y Yang, K Duan… - Proceedings of the …, 2018 - openaccess.thecvf.com
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel
numerous important applications in computer vision, delivering more efficiency and …

Vision-based anti-uav detection and tracking

J Zhao, J Zhang, D Li, D Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion
of security and privacy has aroused social concern. Several detection and tracking systems …

The unmanned aerial vehicle benchmark: Object detection, tracking and baseline

H Yu, G Li, W Zhang, Q Huang, D Du, Q Tian… - International Journal of …, 2020 - Springer
With the increasing popularity of Unmanned Aerial Vehicles (UAVs) in computer vision-
related applications, intelligent UAV video analysis has recently attracted the attention of an …

Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey

X Wu, W Li, D Hong, R Tao, Q Du - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

Object detection and tracking with UAV data using deep learning

AA Micheal, K Vani, S Sanjeevi, CH Lin - Journal of the Indian Society of …, 2021 - Springer
UAVs have been deployed in various object tracking applications such as disaster
management, traffic monitoring, wildlife monitoring and crowd management. Recently …

A unified transformer based tracker for anti-uav tracking

Q Yu, Y Ma, J He, D Yang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Recently, the need for advanced anti-UAV techniques is increasing due to the rising threat of
unauthorized drone intrusion. Object tracking, specifically in thermal infrared (TIR) videos …

Detection and tracking meet drones challenge

P Zhu, L Wen, D Du, X Bian, H Fan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …

Embedded UAV real-time visual object detection and tracking

P Nousi, I Mademlis, I Karakostas… - … Conference on Real …, 2019 - ieeexplore.ieee.org
The use of camera-equipped Unmanned Aerial Vehicles (UAVs, or “drones”) for a wide
range of aerial video capturing applications, including media production, surveillance …

[HTML][HTML] MS-Faster R-CNN: Multi-stream backbone for improved Faster R-CNN object detection and aerial tracking from UAV images

D Avola, L Cinque, A Diko, A Fagioli, GL Foresti… - Remote Sensing, 2021 - mdpi.com
Tracking objects across multiple video frames is a challenging task due to several difficult
issues such as occlusions, background clutter, lighting as well as object and camera view …