Crowd monitoring: State-of-the-art and future directions
With the growing concerns over public safety, the importance of crowd monitoring is being
realized by various security and event management agencies worldwide. Estimation of …
realized by various security and event management agencies worldwide. Estimation of …
Long-time gap crowd prediction using time series deep learning models with two-dimensional single attribute inputs
Crowd prediction is a crucial aspect of modern life with innumerable applications. By
predicting future human occupancy in advance, crowd prediction can support the decision …
predicting future human occupancy in advance, crowd prediction can support the decision …
Sensing and forecasting crowd distribution in smart cities: Potentials and approaches
The possibility of sensing and predicting the movements of crowds in modern cities is of
fundamental importance for improving urban planning, urban mobility, urban safety, and …
fundamental importance for improving urban planning, urban mobility, urban safety, and …
Monitoring large crowds with WiFi: A privacy-preserving approach
This article presents a crowd monitoring system based on the passive detection of probe
requests. The system meets strict privacy requirements and is suited to monitoring events or …
requests. The system meets strict privacy requirements and is suited to monitoring events or …
Long-Time gap crowd prediction with a Two-Stage optimized spatiotemporal Hybrid-GCGRU
Crowd prediction is a crucial aspect of modern society, facilitating numerous decision-
making processes, such as hazard detection and facility maintenance. Conventional crowd …
making processes, such as hazard detection and facility maintenance. Conventional crowd …
Statistical Approach to Estimating Audience from MAC-Randomized WiFi Probe Requests
F Yang, I Ahriz, B Denby - Sensors, 2022 - mdpi.com
In the past few years, the ability of wireless network operators to monitor audience using
control frames emitted by client devices has been compromised, both by legislation treating …
control frames emitted by client devices has been compromised, both by legislation treating …
Sensing Street-level Crowd Density by Observing Public Bluetooth Low Energy Advertisements from Contact Tracing Applications
M Bessho, K Sakamura - 2021 IEEE International Smart Cities …, 2021 - ieeexplore.ieee.org
Smart cities in current and future pandemics are expected to implement features that ensure
social distancing in order to prevent the spread of infection. Technologies for sensing street …
social distancing in order to prevent the spread of infection. Technologies for sensing street …
Tools for Ground-Truth-Free Passive Client Density Mapping in MAC-Randomized Outdoor WiFi Networks
F Yang, I Ahriz, B Denby - Sensors, 2023 - mdpi.com
In the past few years, data privacy legislation has hampered the ability of WiFi network
operators to count and map client activity for commercial and security purposes. Indeed …
operators to count and map client activity for commercial and security purposes. Indeed …
A Link-Quality Anomaly Detection Framework for Software-Defined Wireless Mesh Networks
S Skaperas, L Mamatas… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Software-defined wireless mesh networks are being increasingly deployed in diverse
settings, such as smart cities and public Wi-Fi access infrastructures. The signal propagation …
settings, such as smart cities and public Wi-Fi access infrastructures. The signal propagation …
Design and Implementation of Street-level Crowd Density Forecast using Contact Tracing Applications
M Bessho, K Sakamura - 2022 IEEE International Smart Cities …, 2022 - ieeexplore.ieee.org
Social distancing plays an important role in the control of the spread of infectious diseases.
This study proposes a service that forecasts street-level crowd density in the near future. We …
This study proposes a service that forecasts street-level crowd density in the near future. We …