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 serves a vital role in sensing applications. Impulse radio ultra-wideband (IR-
UWB) radar, which has strong penetration and high-range resolution, has been extensively …

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 …

In this paper, we propose a people counting algorithm using an impulse radio ultra-
wideband radar sensor. The proposed algorithm is based on a strategy of understanding the …

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

As the Artificial Intelligence of Things (AIOT) and ubiquitous sensing technologies have
been leaping forward, numerous scholars have placed a greater focus on the use of Impulse …

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 study, a novel radar-based people counting (PC) method is presented using the deep
learning (DL) approach. The DL algorithm is a great tool that enables the automatic …