A review of applications of visual inspection technology based on image processing in the railway industry
S Liu, Q Wang, Y Luo - Transportation Safety and Environment, 2019 - academic.oup.com
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 …
faults and defects in the railway system. Visual inspection technology is conducive to …
Crowd monitoring: State-of-the-art and future directions
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 …
realized by various security and event management agencies worldwide. Estimation of …
[PDF][PDF] Feature mining for localised crowd counting.
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 …
Existing counting by regression methods either learn a single model for global counting, or …
Learning to count objects in images
V Lempitsky, A Zisserman - Advances in neural information …, 2010 - proceedings.neurips.cc
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 …
estimating the number of cells in a microscopic image or the number of humans in …
Fast crowd density estimation with convolutional neural networks
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 …
important research topic in artificial intelligence applications. Since the existing methods are …
Density-aware person detection and tracking in crowds
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 …
the detection of individual objects has been improved significantly over the recent years …
Crowd analysis: a survey
B Zhan, DN Monekosso, P Remagnino… - Machine Vision and …, 2008 - Springer
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 …
estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for …
Crowd counting and profiling: Methodology and evaluation
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 …
spaces can be a highly effective tool for establishing global situational awareness. Different …
Class-agnostic counting
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 …
however, aims to create a counting model able to count any class of object. To achieve this …
Recent survey on crowd density estimation and counting for visual surveillance
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 …
analysis. The last decades witnessed different of many significant publications in this field …