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 …

An efficient traffic management system is crucial for public transportation. If the passenger
flow can be detected accurately and instantaneously, the routes and schedules for public …

In present days, people detecting and counting is an important aspect in the video
investigation and subjective demand in computer vision systems. For many applications, it is …

This article proposes a convolutional neural network (CNN)-based people counter that
classifies a given frame cube to a specific event that indicates people entering or exiting a …

Purpose The purpose of this paper is to propose a new framework and improve a bi-
directional people counting technique using an RGB-D camera to obtain accurate results …

People flow counting is to count the number of people passing through a passage or a gate.
Conventional vision-based approaches require line-of-sight (LoS) and impose privacy …

Face detection for security cameras monitoring large and crowded areas is very important
for public safety. However, it is much more difficult than traditional face detection tasks. One …

Counting of passengers entering and exiting means of transport is one of the basic
functionalities of passenger flow monitoring systems. Exact numbers of passengers are …

Autonomous passenger counting in public transportation represents an integral part of an
intelligent transportation system, as it provides vital information to improve the efficiency and …

Network programmability will be required to handle future increased network traffic and
constantly changing application needs. However, there is currently no way of using a high …