Taxonomy of anomaly detection techniques in crowd scenes

A Aldayri, W Albattah - Sensors, 2022 - mdpi.com
With the widespread use of closed-circuit television (CCTV) surveillance systems in public
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …

Human sensing by using radio frequency signals: A survey on occupancy and activity detection

R Shahbazian, I Trubitsyna - IEEE Access, 2023 - ieeexplore.ieee.org
Applications for human sensing, also known as (human) occupancy detection, include
energy management systems for intelligent buildings, intruder detection, e-health systems …

[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 …

Non-pharmaceutical interventions against COVID-19 pandemic: Review of contact tracing and social distancing technologies, protocols, apps, security and open …

UR Alo, FO Nkwo, HF Nweke, II Achi, HA Okemiri - Sensors, 2021 - mdpi.com
The COVID-19 Pandemic has punched a devastating blow on the majority of the world's
population. Millions of people have been infected while hundreds of thousands have died of …

Human decision change in crowd evacuation: A virtual reality-based study

M Zhang, R Xu, MFF Siu, X Luo - Journal of Building Engineering, 2023 - Elsevier
In complex building evacuations, continuous decision-making is unavoidable to make a
sequence of route choices at intersections. Evacuees can change their initial decisions with …

Design and implementation of a real-time crowd monitoring system based on public wi-fi infrastructure: A case study on the sri chiang mai smart city

T Wiangwiset, C Surawanitkun, W Wongsinlatam… - Smart Cities, 2023 - mdpi.com
The COVID-19 pandemic has caused significant changes in many aspects of daily life,
including learning, working, and communicating. As countries aim to recover their …

Crowd Monitoring in Smart Destinations Based on GDPR-Ready Opportunistic RF Scanning and Classification of WiFi Devices to Identify and Classify Visitors' Origins

A Berenguer, DF Ros, A Gómez-Oliva, JA Ivars-Baidal… - Electronics, 2022 - mdpi.com
Crowd monitoring was an essential measure to deal with over-tourism problems in urban
destinations in the pre-COVID era. It will play a crucial role in the pandemic scenario when …

Impact of IoT system imperfections and passenger errors on cruise ship evacuation delay

Y Ma, E Gelenbe, K Liu - Sensors, 2024 - mdpi.com
Cruise ships and other naval vessels include automated Internet of Things (IoT)-based
evacuation systems for the passengers and crew to assist them in case of emergencies and …

A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning

C Pronello, D Anbarasan, F Spoturno, G Terzolo - Public Transport, 2024 - Springer
Counting people is an important part of people-centric applications, and the increase in the
number of IoT devices has allowed the collection of huge amounts of data to facilitate people …

EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer

B Thulasya Naik, MF Hashmi, A Gupta - Connection Science, 2024 - Taylor & Francis
The surge in demand for advanced operations in sports video analysis has underscored the
crucial role of multiple object tracking. This study addresses the escalating need for efficient …