Deep learning (DL) frameworks are widely used in various applications due to their
superiority over conventional handcrafted feature-based algorithms. However, applying DL …

For the development of automatic People Counting systems, radar is increasingly becoming
a popular technology because of the increasingly stringent privacy requirements for people …

Radar systems enable remote-less sensing of multiple persons in its field of view. In this
paper, we propose a novel people counting system using 60-GHz frequency modulated …

Intelligent human detection based on WiFi is a technique that has recently attracted a
significant amount of interest from research communities. The use of ubiquitous WiFi to …

Detecting small-scale pedestrians in aerial images is a challenging task that can be difficult
even for humans. Observing that the single image based method cannot achieve robust …

People counting and detection technologies have shown great versatility in various
scenarios and have become an important tool for event organizers and city planners to …

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 …

Radar systems enable remote sensing of multiple persons within their field of view. In this
paper, we propose a novel architecture to perform people counting using a 60 GHz …

Radar sensors and micro-Doppler signatures have been widely used to recognize human
motions. Apart from the motion classification task, human motion detection has attracted …

The perception of pedestrian movement is an arduous task for onboard sensors, yet a
crucial aspect of autonomous driving development. On this account, this paper presents a …