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 …

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 …

In this paper, we propose a multi-human detection algorithm based on impulse radio ultra-
wideband radar system. With our proposed algorithm, the multi-human detection can be …

This paper presents a WiFi-based device-free crowd counting and occupancy estimation
system that can be used in rooms/environments different from the ones in which the training …

With the development of deep learning (DL) frameworks in the field of pattern recognition,
DL-based algorithms have outperformed handcrafted feature (HF)-based ones in various …

Reliable people counting is crucial to many urban applications. However, most existing
people counting systems are sensor-based and can only work in some fixed gateways or …

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 …