[HTML][HTML] Recent trends in crowd analysis: A review

M Bendali-Braham, J Weber, G Forestier… - Machine Learning with …, 2021 - Elsevier
When overpopulated cities face frequent crowded events like strikes, demonstrations,
parades or other sorts of people gatherings, they are confronted to multiple security issues …

Revisiting crowd counting: State-of-the-art, trends, and future perspectives

MA Khan, H Menouar, R Hamila - Image and Vision Computing, 2023 - Elsevier
Crowd counting is an effective tool for situational awareness in public places. Automated
crowd counting using images and videos is an interesting yet challenging problem that has …

A survey of crowd counting and density estimation based on convolutional neural network

Z Fan, H Zhang, Z Zhang, G Lu, Y Zhang, Y Wang - Neurocomputing, 2022 - Elsevier
Crowd counting and crowd density estimation methods are of great significance in the field
of public security. Estimating crowd density and counting from single image or video frame …

Privacy preserving crowd monitoring: Counting people without people models or tracking

AB Chan, ZSJ Liang… - 2008 IEEE conference on …, 2008 - ieeexplore.ieee.org
We present a privacy-preserving system for estimating the size of inhomogeneous crowds,
composed of pedestrians that travel in different directions, without using explicit object …

Fast crowd density estimation with convolutional neural networks

M Fu, P Xu, X Li, Q Liu, M Ye, C Zhu - Engineering Applications of Artificial …, 2015 - Elsevier
As an effective way for crowd control and management, crowd density estimation is an
important research topic in artificial intelligence applications. Since the existing methods are …

Counting people with low-level features and Bayesian regression

AB Chan, N Vasconcelos - IEEE Transactions on image …, 2011 - ieeexplore.ieee.org
An approach to the problem of estimating the size of inhomogeneous crowds, which are
composed of pedestrians that travel in different directions, without using explicit object …

[HTML][HTML] A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero …

M Haghani, M Coughlan, B Crabb, A Dierickx… - Safety science, 2023 - Elsevier
Crowds can be subject to intrinsic and extrinsic sources of risk, and previous records have
shown that, in the absence of adequate safety measures, these sources of risk can …

Crowd analysis using computer vision techniques

JCSJ Junior, SR Musse, CR Jung - IEEE Signal Processing …, 2010 - ieeexplore.ieee.org
This article presents a survey on crowd analysis using computer vision techniques, covering
different aspects such as people tracking, crowd density estimation, event detection …

Crowd analysis: a survey

B Zhan, DN Monekosso, P Remagnino… - Machine Vision and …, 2008 - Springer
In the year 1999 the world population reached 6 billion, doubling the previous census
estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for …

Crowd counting and profiling: Methodology and evaluation

CC Loy, K Chen, S Gong, T Xiang - … and Visual Analysis of Crowds: A …, 2013 - Springer
Video imagery based crowd analysis for population profiling and density estimation in public
spaces can be a highly effective tool for establishing global situational awareness. Different …