[HTML][HTML] Deepsocial: Social distancing monitoring and infection risk assessment in covid-19 pandemic

M Rezaei, M Azarmi - Applied Sciences, 2020 - mdpi.com
Social distancing is a recommended solution by the World Health Organisation (WHO) to
minimise the spread of COVID-19 in public places. The majority of governments and …

[HTML][HTML] A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

[HTML][HTML] 3d-net: Monocular 3d object recognition for traffic monitoring

M Rezaei, M Azarmi, FMP Mir - Expert Systems with Applications, 2023 - Elsevier
Abstract Machine Learning has played a major role in various applications including
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …

Illumination and temperature-aware multispectral networks for edge-computing-enabled pedestrian detection

Y Zhuang, Z Pu, J Hu, Y Wang - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Accurate and efficient pedestrian detection is crucial for the intelligent transportation system
regarding pedestrian safety and mobility, eg, Advanced Driver Assistance Systems, and …

[HTML][HTML] SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection

U Gawande, K Hajari, Y Golhar - Applied Intelligence, 2022 - Springer
In this paper, we resolve the challenging obstacle of detecting pedestrians with the ubiquity
of irregularities in scale, rotation, and the illumination of the natural scene images natively …

Traffic-net: 3d traffic monitoring using a single camera

M Rezaei, M Azarmi, FMP Mir - arXiv preprint arXiv:2109.09165, 2021 - arxiv.org
Computer Vision has played a major role in Intelligent Transportation Systems (ITS) and
traffic surveillance. Along with the rapidly growing automated vehicles and crowded cities …

A comparison between various human detectors and CNN-based feature extractors for human activity recognition via aerial captured video sequences

N Aldahoul, HA Karim, AQM Sabri, MJT Tan… - IEEE …, 2022 - ieeexplore.ieee.org
Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …

Developing digital twins of multi-camera metrology systems in Blender

C Pottier, J Petzing, F Eghtedari… - Measurement …, 2023 - iopscience.iop.org
Blender is an open-source three-dimensional animation software, which can be used as a
simulation tool in metrology, to build numerical models that can be used in the design and …

[HTML][HTML] Pedestrian crossing intention forecasting at unsignalized intersections using naturalistic trajectories

E Moreno, P Denny, E Ward, J Horgan, C Eising… - Sensors, 2023 - mdpi.com
Interacting with other roads users is a challenge for an autonomous vehicle, particularly in
urban areas. Existing vehicle systems behave in a reactive manner, warning the driver or …

Feature-Based Object Detection and Tracking: A Systematic Literature Review

NI Husna Fauzi, Z Musa, F Hujainah - International Journal of Image …, 2024 - World Scientific
Correct object detection plays a key role in generating an accurate object tracking result.
Feature-based methods have the capability of handling the critical process of extracting …