Device-free RF sensing and monitoring of human/crowd behavior has gained great
attraction and consensus. Many different systems have been proposed for different …

Two algorithms using spatial and waveform characteristics are proposed to predict the
number of people crossing an existing RFID installation. We show that with some minor …

People counting tracks the number of people entering or exiting any given space in real-
time, which helps make intelligent business decisions and improve quality of service (QoS) …

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 …

Passenger counting is an important task for intelligent public transportation system¿ s
planning and operation. However, traditional counting systems can¿ t identify individual …

Passenger counting is crucial for many applications such as vehicle scheduling and traffic
capacity assessment. However, most of the existing solutions are either high-cost, privacy …

Subject counting systems are extensively used in ambient intelligence applications, such as
smart home, smart building and smart retail scenarios. In this paper, we investigate the …

Crowd behaviour analytics focuses on behavioural characteristics of groups of people
instead of individuals' activities. This work considers human queuing behaviour which is a …

The outbreak of COVID-19 has resulted in many different policies being adopted across the
world to reduce the spread of the virus. These policies include wearing surgical masks, hand …

In the era of Internet of Things, crowd counting, which estimates the number of people within
a region, becomes the underpinning for many emerging applications, such as occupancy …