Edge video analytics for public safety: A review

Q Zhang, H Sun, X Wu, H Zhong - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

A novel video based system for detecting and counting vehicles at user-defined virtual loops

P Barcellos, C Bouvié, FL Escouto… - Expert Systems with …, 2015 - Elsevier
This paper presents a new system for detecting and counting vehicles in urban traffic videos
at user-defined virtual loops. The proposed method uses motion coherence and spatial …

Single-camera-based bridge structural displacement measurement with traffic counting

Z Aliansyah, K Shimasaki, T Senoo, I Ishii, S Umemoto - Sensors, 2021 - mdpi.com
Vision-based structural displacement methods allow convenient monitoring of civil structures
such as bridges, though they are often limited due to the small number of measurement …

Unsupervised video summarization using cluster analysis for automatic vehicles counting and recognizing

H Rabbouch, F Saâdaoui, R Mraihi - Neurocomputing, 2017 - Elsevier
Abstract Automatic Vehicles Counting and Recognizing (AVCR) is a very challenging topic
in transport engineering having important implications for the modern transport policies …

Tracking and counting vehicles in traffic video sequences using particle filtering

C Bouvie, J Scharcanski, P Barcellos… - 2013 IEEE …, 2013 - ieeexplore.ieee.org
This paper presents a new method to track and count vehicles in video traffic sequences.
The proposed method uses image processing, particle filtering, and motion coherence to …

A novel secure occupancy monitoring scheme based on multi-chaos mapping

J Ahmad, F Masood, SA Shah, SS Jamal, I Hussain - Symmetry, 2020 - mdpi.com
Smart building control, managing queues for instant points of service, security systems, and
customer support can benefit from the number of occupants information known as …

A modified deep learning architecture for vehicle detection in traffic monitoring system

H Haritha, SK Thangavel - International Journal of Computers and …, 2021 - Taylor & Francis
Deployment of adequate surveillance and security measures is crucial in today's scenario.
The proposed system is designed to handle the surveillance that detects the vehicles …

Vision-based vehicle detecting and counting for traffic flow analysis

Z Zhang, K Liu, F Gao, X Li… - 2016 International Joint …, 2016 - ieeexplore.ieee.org
In this paper, we present a system to detect and count the number of vehicles in traffic
surveillance videos based on Fast Region-based Convolutional Network (Fast R-CNN). Fast …

Towards real-time traffic movement count and trajectory reconstruction using virtual traffic lanes

A Abdelhalim, M Abbas - … of the IEEE/CVF Conference on …, 2020 - openaccess.thecvf.com
In this paper, we discuss our framework and observations for AI City Challenge Track 1:
Vehicle Counts by Class at Multiple Intersections. The framework we propose utilizes …

An intelligent real-time occupancy monitoring system with enhanced encryption and privacy

J Ahmad, H Larijani, R Emmanuel… - 2018 IEEE 17th …, 2018 - ieeexplore.ieee.org
The number of people entering or leaving a building is an essential piece of information that
has a lot of practical applications in intelligent building, queue management, and customer …