Information on congestion of buses, which are one of the major public transportation modes,
can be very useful in light of the current COVID-19 pandemic. Because it is unrealistic to …

In many of the world's major cities, commuter trains provide vital transportation support and
thus play an essential role in our daily lives. Therefore, it has become necessary to estimate …

Accurately estimating the number of people is a useful information to monitor the occupancy
level of spaces due to the COVID-19 pandemic in order to keep social distancing …

Attendance monitoring is an application of people counting with several use cases in
various settings such as in corporate businesses and classrooms. Despite the vast number …

This research employs a novel approach to headcounting by comparing the performance of
the ANN algorithm with that of the SVM algorithm. To determine how many individuals are …

Image processing can be used to solve some daily applications. Computer vision and
Artificial Intelligence in the computer system provide the capability to work like the human …

Abstract RGB-Thermal (RGB-T) crowd counting addresses the challenge of estimating the
number of people using both RGB and thermal images. To capture global information, an …

In recent, the studies on the systems have been progressing that count the number of people
passing through passageway or count people who exist in specific space. The existing …

In today's world, identifying, tracking and counting people are essential aspects of video
analysis and are highly sought after in the field of in Computer Vision. Occlusion is the major …

People counting is paramount in modern society, particularly in traffic management,
business operations, security monitoring, and epidemic control. Accurately tracking crowd …