Survey of non-image-based approaches for counting people

ST Kouyoumdjieva, P Danielis… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Accurate people count estimation, potentially in real-time, both for indoor and outdoor
environments, is said to be of major importance in the smart cities of tomorrow. Application …

On exploiting data visualization and IoT for increasing sustainability and safety in a smart campus

C Ceccarini, S Mirri, P Salomoni, C Prandi - Mobile Networks and …, 2021 - Springer
In a world that is getting increasingly digital and interconnected, and where more and more
physical objects are integrated into the information network (Internet of Things, IoT), Data …

Edge-based transfer learning for classroom occupancy detection in a smart campus context

L Monti, R Tse, SK Tang, S Mirri, G Delnevo… - Sensors, 2022 - mdpi.com
Studies and systems that are aimed at the identification of the presence of people within an
indoor environment and the monitoring of their activities and flows have been receiving …

[HTML][HTML] Estimating bus passenger volume based on a Wi-Fi scanner survey

A Hidayat, S Terabe, H Yaginuma - … Research Interdisciplinary Perspectives, 2020 - Elsevier
The main objective of this study is to estimate bus passenger volume based on a Wi-Fi
scanner transportation survey. The study proposes a new data cleaning procedure to …

An Ultra-low-power Embedded AI Fire Detection and Crowd Counting System for Indoor Areas

A Papaioannou, CS Kouzinopoulos… - ACM Transactions on …, 2023 - dl.acm.org
Fire incidents in residential and industrial areas are often the cause of human casualties and
property damage. Although there are existing systems that detect fire and monitor the …

Improving crowd density estimation by fusing aerial images and radio signals

KW Yang, YY Huang, JW Huang, YR Hsu… - ACM Transactions on …, 2022 - dl.acm.org
A recent line of research focuses on crowd density estimation from RGB images for a variety
of applications, for example, surveillance and traffic flow control. The performance drops …

Smart sensing supporting energy-efficient buildings: On comparing prototypes for people counting

L Monti, S Mirri, C Prandi, P Salomoni - Proceedings of the 5th EAI …, 2019 - dl.acm.org
The wide diffusion of smart objects and Internet of Things (IoT) is making available sensing
applications that can support citizens' smart moving in outdoor contexts, as well as indoor …

Overview of Wi-Fi-based automatic passenger counting solutions in public urban transport

I Grgurević, K Juršić, V Rajič - … of Manufacturing Systems in Industry 4.0, 2022 - Springer
Abstract Automatic Passenger Counting (APC) solutions imply different ways of counting
passengers and the most common division of APC is on independent and integrated …

People crowd density estimation system using deep learning for radio wave sensing of cellular communication

K Shibata, H Yamamoto - 2019 International conference on …, 2019 - ieeexplore.ieee.org
In recent years, research and development of a people flow observation system is attracting
attention in various fields (eg, city area, shopping district) because the directional …

DeepClass: Edge based class occupancy detection aided by deep learning and image cropping

R Tse, L Monti, M Im, S Mirri, G Pau… - … Conference on Digital …, 2020 - spiedigitallibrary.org
Detecting people's presence, monitoring their flows, and their activities, counting how many
persons are in a specific place can be strategic goals in different contexts, providing useful …