A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets

GF Shidik, E Noersasongko, A Nugraha… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

A deep survey on supervised learning based human detection and activity classification methods

MA Khan, M Mittal, LM Goyal, S Roy - Multimedia Tools and Applications, 2021 - Springer
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Applications, databases and open computer vision research from drone videos and images: a survey

Y Akbari, N Almaadeed, S Al-Maadeed… - Artificial Intelligence …, 2021 - Springer
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Human activity recognition from UAV-captured video sequences

H Mliki, F Bouhlel, M Hammami - Pattern Recognition, 2020 - Elsevier
This research paper introduces a new approach for human activity recognition from UAV-
captured video sequences. The proposed approach involves two phases: an offline phase …

Needles in a haystack: Tracking city-scale moving vehicles from continuously moving satellite

W Ao, Y Fu, X Hou, F Xu - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
In recent years, the satellite videos have been captured by moving satellite platforms. In
contrast to consumers, movies, and common surveillance videos, satellite videos can record …

A reinforcement learning approach for UAV target searching and tracking

T Wang, R Qin, Y Chen, H Snoussi, C Choi - Multimedia Tools and …, 2019 - Springer
Owing to the advantages of Unmanned Aerial Vehicle (UAV), such as the extendibility,
maneuverability and stability, multiple UAVs are having more and more applications in …

A deep genetic algorithm for human activity recognition leveraging fog computing frameworks

RR Subramanian, V Vasudevan - Journal of Visual Communication and …, 2021 - Elsevier
With modern e-healthcare developments, ambulatory healthcare has become a prominent
requirement for physical or mental ailed, elderly, childhood people. One of the major …

River flow measurements utilizing UAV-based surface velocimetry and bathymetry coupled with sonar

P Koutalakis, GN Zaimes - Hydrology, 2022 - mdpi.com
Water velocity and discharge are essential parameters for monitoring water resources
sustainably. Datasets acquired from Unoccupied Aerial Systems (UAS) allow for river …

The state of aerial surveillance: A survey

K Nguyen, C Fookes, S Sridharan, Y Tian, F Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of
aerial surveillance due to their unprecedented advantages in scale, mobility, deployment …

A survey on digital video stabilization

M Sarıgül - Multimedia Tools and Applications, 2023 - Springer
Shakes and jitters are an eventual result of involuntary camera movements during video
recording. Digital video stabilization is the elimination of these errors with smart algorithms …