Modeling occupancy and behavior for better building design and operation—A critical review

B Dong, D Yan, Z Li, Y Jin, X Feng, H Fontenot - Building Simulation, 2018 - Springer
People spend more than 90% of their life time in buildings, which makes occupant behavior
one of the leading influences of energy consumption in buildings. Occupancy and occupant …

[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 …

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 …

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

B Liang, CN van der Wal, K Xie, Y Chen, FMT Brazier… - Safety science, 2023 - Elsevier
Emergency evacuation is viewed as a common strategy adopted during the disaster
preparedness stage of evacuation to ensure the safety of potentially affected populations. In …

Physics inspired methods for crowd video surveillance and analysis: a survey

X Zhang, Q Yu, H Yu - IEEE Access, 2018 - ieeexplore.ieee.org
Crowd analysis is very important for human behavior analysis, safety science, computational
simulation, and computer vision applications. One of the most popular applications is video …

A review of deep learning techniques for crowd behavior analysis

B Tyagi, S Nigam, R Singh - Archives of Computational Methods in …, 2022 - Springer
In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

In-depth survey to detect, monitor and manage crowd

AM Al-Shaery, SS Alshehri, NS Farooqi… - IEEE …, 2020 - ieeexplore.ieee.org
Crowd management is a flourishing, active research area and must be given attention due to
the potential losses, disasters, and accidents that could occur if it were neglected. For the …

[PDF][PDF] Machine Learning-Based Crowd Behavior Analysis and Forecasting

S Bhardwaj, A Dwivedi, A Pandey… - … Journal of Scientific …, 2023 - researchgate.net
In many places today, the world's overcrowding causes crowded conditions. Analysis of
crowd activity is a developing field of study. It is common knowledge that mob activity can …

Ultra large-scale crowd monitoring system architecture and design issues

Y Jiang, Y Miao, B Alzahrani, A Barnawi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
This article proposes a novel ultralarge-scale crowd monitoring system, namely, the ULCM
system. The ULCM system enables advanced sensing and networking technologies aimed …

Behavior analysis-based iot services for crowd management

TH Noor - The Computer Journal, 2023 - academic.oup.com
With the world population growing exponentially reaching 7.8 billion people in 2020, the
issue of crowd management has become more difficult especially when the situation …