Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …

Counting high‐density objects quickly and accurately is a popular area of research. Crowd
counting has significant social and economic value and is a major focus in artificial …

Cross-domain crowd counting (CDCC) is a hot topic due to its importance in public safety.
The purpose of CDCC is to alleviate the domain shift between the source and target domain …

Crowd tracking and analysis of crowd behavior is a challenging research area in computer
vision. In today's crowded environment manual surveillance systems are inefficient, labor …

Most previous works on object counting are limited to pre-defined categories. In this paper,
we focus on class-agnostic counting, ie, counting object instances in an image by simply …

We propose a novel algorithm to identify occupied seats in a motor vehicle, ie, the number of
occupants and their positions, using a frequency modulated continuous wave radar. Instead …

Multi-view counting (MVC) methods have shown their superiority over single-view
counterparts, particularly in situations characterized by heavy occlusion and severe …

The core of active semi-supervised crowd counting is the sample selection criteria. However,
the scale factor has been neglected in active learning approaches despite the fact that the …

Existing crowd counting designs usually exploit multi-branch structures to address the scale
diversity problem. However, branches in these structures work in a competitive rather than …

Due to different installation angles, heights, and positions of the camera installation in real-
world scenes, it is difficult for crowd counting models to work in unseen surveillance scenes …