In this letter, we propose a people counting method based on bi-motion-model-framework
(BMMF) using ultra-wide bandwidth (UWB) radar. Because different people motion states …

In this paper, we propose a novel people counting algorithm exploiting convolutional neural
network (CNN) using a low radiation impulse radio ultra-wide bandwidth (IR-UWB) radar …

Conventional radar-based people counting systems are designed mainly for dense spatial
distributions in a small region of interest (ROI). Therefore, a system with only conventional …

People counting is one of the hottest issues in sensing applications. Impulse radio
ultrawideband radar has been extensively adopted to count people because it provides a …

In this paper, we propose system based on impulse radio ultra-wideband (IR-UWB) radar
sensors for counting multiple people passing through a passage or a wide door. The …

People counting plays a crucial role in various sensing applications such as in smart cities
and shopping malls. In this paper, we propose a data-driven solution that uses a low power …

Great efforts have been devoted to solving the crowd counting problem based on vision or
other fine-grained measurements. Popular vision and WiFi channel state information based …

A cascaded regional people counting approach based on two-dimensional (2-D) spatial
attribute features using multi-input multi-output (MIMO) radar is presented in this letter. The …

Driven by the Internet of Things (IoT), many device-free crowd density estimation techniques
can roughly estimate the crowd density based on the relationship between the dynamic …

Wi-Fi-based crowd counting is predominant because of its noninvasive and ubiquitous
advantages. However, the existing Wi-Fi-based crowd counting systems have the constraint …