WiFi-based passive methods are becoming a common tool to count, estimate, and/or locate
people. One area of applicability is the development of intelligent control system for traffic …

At demonstrations, counting people based on the Wifi signals that their phones emit, may be
a flexible alternative when conventional methods fail. However, at public events like that …

Estimating the number of people in a given environment is an attractive tool with a wide
range of applications. Urban environments are not an exception. Counting pedestrians and …

The fact that almost every person owns a smartphone device that can be precisely located is
both empowering and worrying. If methods for accurate tracking of devices (and their …

Knowing how many people there are in a given scenario offers new possibilities for the
development of intelligent services. With this goal in mind, the use of sensors and radio …

In this paper, we are interested in the problem of counting a crowd of stationary people (ie,
seated) using a pair of WiFi transceivers. While the people in the crowd are stationary, ie …

This paper focuses on the problem of providing a rough count of the number of people in a
room using passive WiFi Channel State Information (CSI) measurements taken by a single …

Counting the number of people inside a building, from outside and without entering the
building, is crucial for many applications. In this paper, we are interested in counting the total …

A device‐free human counting (DFC) algorithm that uses fine‐grained subcarrier information
from WiFi devices, called channel state information (CSI), to count the number of people in …

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 …