Counting people and things (targets) in a monitored area, also known as crowd-counting,
enables several applications in diverse scenarios, including smart building, intelligent …

People counting is key to a diverse set of sensing applications. In this paper, we design a
mote-scale event-driven solution that uses a low-power pulsed radar to estimate the number …

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 in indoor environment is a challenging task due to the coexistence of
moving crowds with stationary crowds, recurrent occlusions and complex background …

Driven by the proliferation of sensor-rich mobile devices, crowd sensing has emerged as a
new paradigm of gathering information about the physical world. In crowd sensing …

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 …

The number of people in a specific region can provide valuable information in many aspects
including Heating Ventilating and Air Conditioning (HVAC) systems adjustment, firefighting …

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 …

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 …

Crowd counting, ie, estimation number of the pedestrian in crowd images, is emerging as an
important research problem with the public security applications. A key component for the …