Currently, effective crowd management based on the information provided by crowd
monitoring systems is difficult as this information comes in at the moment adverse crowd …

This paper presents a novel robust people counting system based on fusing the depth and
vision data. Conventional algorithms utilize the monoscopic or stereoscopic vision data to …

This paper presents a framework to accurately and non-intrusively detect the number of
people in an environment and track their positions. Different from most of the previous …

The possibility of sensing and predicting the movements of crowds in modern cities is of
fundamental importance for improving urban planning, urban mobility, urban safety, and …

Automatic counting of passengers is very important for both business and security
applications. We present a single-camera-based vision system that is able to count …

Abstract Interpretation of human activity and the detection of associated events are eased if
appropriate models of context are available. A method is presented for automatically …

Automated methods are commonly used to count motorized vehicles, but are not frequently
used to count pedestrians. This is because the automated technologies available to count …

This paper presents a people counting system as an application of a people counting
method. The method uses depth and vision data captured by a low-cost Kinect sensor. The …

Intelligent digital TV (iDTV) is a future digital TV with intelligence which can automatically
provide user-personalized services for each audience. For the user-personalized services …

A pedestrian counter has a lot of applications like effective resource utilization, planning of
service activities and ensuring safety and convenience. The design and implementation of a …