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 …

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 …

[HTML][HTML] Drones chasing drones: Reinforcement learning and deep search area proposal

MA Akhloufi, S Arola, A Bonnet - Drones, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are very popular and increasingly used in different
applications. Today, the use of multiple UAVs and UAV swarms are attracting more interest …

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 …

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 …

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 …

Anti-UAV: A large multi-modal benchmark for UAV tracking

N Jiang, K Wang, X Peng, X Yu, Q Wang, J Xing… - arXiv preprint arXiv …, 2021 - arxiv.org
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commerce and recreation.
With this, monitoring the operation status of UAVs is crucially important. In this work, we …

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 …

Anti-uav: a large-scale benchmark for vision-based uav tracking

N Jiang, K Wang, X Peng, X Yu, Q Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation.
However, irresponsibly operated UAVs will pose a threat to public safety. Therefore …

A benchmark and simulator for UAV tracking

M Mueller, N Smith, B Ghanem - … , The Netherlands, October 11–14, 2016 …, 2016 - Springer
In this paper, we propose a new aerial video dataset and benchmark for low altitude UAV
target tracking, as well as, a photo-realistic UAV simulator that can be coupled with tracking …