In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

With the growing concerns over public safety, the importance of crowd monitoring is being
realized by various security and event management agencies worldwide. Estimation of …

This paper presents a multi-output regression model for crowd counting in public scenes.
Existing counting by regression methods either learn a single model for global counting, or …

We propose a new supervised learning framework for visual object counting tasks, such as
estimating the number of cells in a microscopic image or the number of humans in …

As an effective way for crowd control and management, crowd density estimation is an
important research topic in artificial intelligence applications. Since the existing methods are …

In the year 1999 the world population reached 6 billion, doubling the previous census
estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for …

We address the problem of person detection and tracking in crowded video scenes. While
the detection of individual objects has been improved significantly over the recent years …

Video imagery based crowd analysis for population profiling and density estimation in public
spaces can be a highly effective tool for establishing global situational awareness. Different …

Nearly all existing counting methods are designed for a specific object class. Our work,
however, aims to create a counting model able to count any class of object. To achieve this …

Automated crowd density estimation and counting are popular and important topic in crowd
analysis. The last decades witnessed different of many significant publications in this field …