Intensive review of drones detection and tracking: linear kalman filter versus nonlinear regression, an analysis case

RA Zitar, A Mohsen, AEF Seghrouchni… - … Methods in Engineering, 2023 - Springer
In this paper, an extensive review for objects and drones (AUVs) detection and tracking is
presented. The article presents state of the art methods used in detection and tracking of …

Convolutional neural network-based real-time object detection and tracking for parrot AR drone 2

A Rohan, M Rabah, SH Kim - IEEE access, 2019 - ieeexplore.ieee.org
Recent advancements in the field of Artificial Intelligence (AI) have provided an opportunity
to create autonomous devices, robots, and machines characterized particularly with the …

[PDF][PDF] Deep learning for moving object detection and tracking from a single camera in unmanned aerial vehicles (UAVs)

DH Ye, J Li, Q Chen, J Wachs, C Bouman - Electronic Imaging, 2018 - library.imaging.org
Unmanned Aerial Vehicles (UAVs) gain popularity in a wide range of civilian and military
applications. Such emerging interest is pushing the development of effective collision …

Deep learning-based strategies for the detection and tracking of drones using several cameras

E Unlu, E Zenou, N Riviere, PE Dupouy - IPSJ Transactions on Computer …, 2019 - Springer
Commercial Unmanned aerial vehicle (UAV) industry, which is publicly known as drone, has
seen a tremendous increase in last few years, making these devices highly accessible to …

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 …

Application of object detection and tracking techniques for unmanned aerial vehicles

S Kamate, N Yilmazer - Procedia Computer Science, 2015 - Elsevier
In this research, the information captured by Unmanned Aerial Vehicles (UAVs) are
eminently utilized in detecting and tracking moving objects which pose a primary security …

Object detection for unmanned aerial vehicle camera via convolutional neural networks

IV Saetchnikov, EA Tcherniavskaia… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
The object tracking alongside the image segmentation have recently become a particular
significance in satellite and aerial imagery. The latest achievements in this field are closely …

Detection and tracking of moving pedestrians with a small unmanned aerial vehicle

S Yeom, IJ Cho - Applied Sciences, 2019 - mdpi.com
Small unmanned aircraft vehicles (SUAVs) or drones are very useful for visual detection and
tracking due to their efficiency in capturing scenes. This paper addresses the detection and …

FRCNN-based reinforcement learning for real-time vehicle detection, tracking and geolocation from UAS

CH Singh, V Mishra, K Jain, AK Shukla - Drones, 2022 - mdpi.com
In the last few years, uncrewed aerial systems (UASs) have been broadly employed for
many applications including urban traffic monitoring. However, in the detection, tracking, and …

Application of data sensor fusion using extended kalman filter algorithm for identification and tracking of moving targets from LiDAR–radar data

OJ Montañez, MJ Suarez, EA Fernandez - Remote Sensing, 2023 - mdpi.com
In surveillance and monitoring systems, the use of mobile vehicles or unmanned aerial
vehicles (UAVs), like the drone type, provides advantages in terms of access to the …