A landscape of crowd-management support: An integrative approach
Of the many crowd behavior models, very few have been used in assisting crowd
management practice. This lack of usage is partly due to crowd management involving a …
management practice. This lack of usage is partly due to crowd management involving a …
Computer vision based crowd disaster avoidance system: A survey
B Yogameena, C Nagananthini - International journal of disaster risk …, 2017 - Elsevier
Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …
and promising topics due to the increase of people gatherings in public places where the …
A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance
K Rezaee, SM Rezakhani, MR Khosravi… - Personal and Ubiquitous …, 2024 - Springer
Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly
effective in increasing public security. The traditional procedure of recognizing abnormalities …
effective in increasing public security. The traditional procedure of recognizing abnormalities …
[PDF][PDF] Feature mining for localised crowd counting.
This paper presents a multi-output regression model for crowd counting in public scenes.
Existing counting by regression methods either learn a single model for global counting, or …
Existing counting by regression methods either learn a single model for global counting, or …
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 …
composed of pedestrians that travel in different directions, without using explicit object …
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 …
composed of pedestrians that travel in different directions, without using explicit object …
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 …
estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for …
Crowd counting and profiling: Methodology and evaluation
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 …
spaces can be a highly effective tool for establishing global situational awareness. Different …
Recent survey on crowd density estimation and counting for visual surveillance
Automated crowd density estimation and counting are popular and important topic in crowd
analysis. The last decades witnessed different of many significant publications in this field …
analysis. The last decades witnessed different of many significant publications in this field …
Evaluating clone detection tools with bigclonebench
J Svajlenko, CK Roy - 2015 IEEE international conference on …, 2015 - ieeexplore.ieee.org
Many clone detection tools have been proposed in the literature. However, our knowledge of
their performance in real software systems is limited, particularly their recall. In this paper …
their performance in real software systems is limited, particularly their recall. In this paper …