Classification of Abandoned and Unattended Objects, Identification of Their Owner with Threat Assessment for Visual Surveillance

H Agarwal, G Singh, MA Siddiqui - Proceedings of 3rd International …, 2019 - Springer
Terrorism is on an ever-increasing rise and is one of the major threats the world is facing
today. Terrorist attacks mostly take place in crowded areas such as railway stations and …

Early-anomaly prediction in surveillance cameras for security applications

M Emad, M Ishack, M Ahmed, M Osama… - 2021 International …, 2021 - ieeexplore.ieee.org
In the last decade, the number of surveillance cameras has increased significantly, with
much research conducted to automate the process of surveillance, as humans cannot …

Behavior-driven video analytics system for critical infrastructure protection

P Curtis, M Harb, R Abielmona… - the 2014 Seventh IEEE …, 2014 - ieeexplore.ieee.org
The convergence of a security aware environment with the proliferation of inexpensive high
quality video imaging devices has led to the deployment of cameras at a high number of …

[图书][B] Lessons learned implementing video analytics in a public surveillance network

R Shukla, DS Lawrence, BE Peterson - 2020 - urban.org
Video analytics encompasses a range of software enhancements that law enforcement
agencies use to improve public safety and aid investigations. Perimeter, crowd, and object …

Detecting criminal activities and promoting safety using deep learning

R Mathur, T Chintala… - … international conference on …, 2022 - ieeexplore.ieee.org
Automation and autonomous systems are among the few powerhouses of innovation that
drive entire domains towards advancing further in leaps and bounds. Great technological …

[PDF][PDF] Intensifying security with smart video surveillance

S Verma, V Jaiswal, R Shyam - Recent Trends in Programming …, 2022 - researchgate.net
The smart video surveillance system is designed to observe the activities of people nearby
for safety concerns. This smart video surveillance can be installed at malls, public areas …

Object detection and tracking approaches for video surveillance over camera network

N Funde, P Paranjape, K Ram… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Object detection and tracking are the most challenging part of any computer vision
applications. In computer vision, video surveillance is a popular research area in a dynamic …

Real-time video surveillance system for detecting malicious actions and weapons in public spaces

M Narayanan, S Jaju, A Nair, A Mhatre… - Computer Networks and …, 2021 - Springer
In today's world, thousands of surveillance cameras have been working round the clock.
These cameras are installed at railway stations, ATMs, streets and all the public spaces that …

Detecting and preventing criminal activities in shopping malls using massive video surveillance based on deep learning models

Z Qin, H Liu, B Song, M Alazab, PM Kumar - Annals of Operations …, 2021 - Springer
Video surveillance devices are a valuable tool in various contexts to automate different
danger conditions and enable security guards to make effective decisions to improve asset …

Object detection and tracking

F Porikli, A Yilmaz - Video Analytics for Business Intelligence, 2012 - Springer
Detecting and tracking objects are among the most prevalent and challenging tasks that a
surveillance system has to accomplish in order to determine meaningful events and …