An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs

M Mandal, SK Vipparthi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …

Intelligent transportation systems (ITS): A systematic review using a Natural Language Processing (NLP) approach

TD Putri - Heliyon, 2021 - cell.com
Abstract Intelligent Transportation Systems (ITS) is not a new concept. Notably, ITS has been
cited in various journal articles and proceedings papers around the world, and it has …

Meta-transfer metric learning for time series classification in 6G-supported intelligent transportation systems

L Sun, J Liang, C Zhang, D Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning-based time series classification in 6G-supported Intelligent Transportation
Systems (ITS) helps transport decision-making. Deep learning classifier training …

Multiview abnormal video synopsis in real-time

PY Ingle, YG Kim - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The proliferation of surveillance cameras has resulted in an exponential growth in video
data, which has created several challenges for video data analysis, extraction, and storage …

Object classification based on enhanced evidence theory: Radar–vision fusion approach for roadside application

P Liu, G Yu, Z Wang, B Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Roadside object detection and classification provide a good understanding of driving
scenarios in regard to over-the-horizon perception. However, typical roadside sensors are …

Dvs: A drone video synopsis towards storing and analyzing drone surveillance data in smart cities

PY Ingle, Y Kim, YG Kim - Systems, 2022 - mdpi.com
The commercialization and advancement of unmanned aerial vehicles (UAVs) have
increased in the past decades for surveillance. UAVs use gimbal cameras and LIDAR …

Video big data analytics in the cloud: A reference architecture, survey, opportunities, and open research issues

A Alam, I Ullah, YK Lee - IEEE Access, 2020 - ieeexplore.ieee.org
The proliferation of multimedia devices over the Internet of Things (IoT) generates an
unprecedented amount of data. Consequently, the world has stepped into the era of big …

FPPNet: A fixed-perspective-perception module for small object detection based on background difference

W Liu, B Zhou, Z Wang, G Yu, S Yang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
A roadside sensing unit can provide over-the-horizon perception information for
autonomous vehicles due to its high perception perspective. However, numerous …

Interactive visualization-based surveillance video synopsis

K Namitha, A Narayanan, M Geetha - Applied Intelligence, 2022 - Springer
Video synopsis is an effective technique for the efficient analysis of long videos in a short
time. To generate a compact video, multiple tracks of moving objects, which we call as tubes …

[PDF][PDF] Authentication of Vehicles and Road Side Units in Intelligent Transportation System.

M Waqas, S Tu, SU Rehman, Z Halim… - … , Materials & Continua, 2020 - drive.google.com
Security threats to smart and autonomous vehicles cause potential consequences such as
traffic accidents, economically damaging traffic jams, hijacking, motivating to wrong routes …