A survey of recent advances in cnn-based single image crowd counting and density estimation
VA Sindagi, VM Patel - Pattern Recognition Letters, 2018 - Elsevier
Estimating count and density maps from crowd images has a wide range of applications
such as video surveillance, traffic monitoring, public safety and urban planning. In addition …
such as video surveillance, traffic monitoring, public safety and urban planning. In addition …
A landscape of crowd-management support: An integrative approach
Of the many crowd behavior models, very few have been used in assisting crowd
management practice. This lack of usage is partly due to crowd management involving a …
management practice. This lack of usage is partly due to crowd management involving a …
Single-image crowd counting via multi-column convolutional neural network
This paper aims to develop a method that can accurately estimate the crowd count from an
individual image with arbitrary crowd density and arbitrary perspective. To this end, we have …
individual image with arbitrary crowd density and arbitrary perspective. To this end, we have …
Cross-scene crowd counting via deep convolutional neural networks
Cross-scene crowd counting is a challenging task where no laborious data annotation is
required for counting people in new target surveillance crowd scenes unseen in the training …
required for counting people in new target surveillance crowd scenes unseen in the training …
Relational attention network for crowd counting
Crowd counting is receiving rapidly growing research interests due to its potential
application value in numerous real-world scenarios. However, due to various challenges …
application value in numerous real-world scenarios. However, due to various challenges …
Revisiting perspective information for efficient crowd counting
Crowd counting is the task of estimating people numbers in crowd images. Modern crowd
counting methods employ deep neural networks to estimate crowd counts via crowd density …
counting methods employ deep neural networks to estimate crowd counts via crowd density …
Crowd counting via scale-adaptive convolutional neural network
L Zhang, M Shi, Q Chen - 2018 IEEE winter conference on …, 2018 - ieeexplore.ieee.org
The task of crowd counting is to automatically estimate the pedestrian number in crowd
images. To cope with the scale and perspective changes that commonly exist in crowd …
images. To cope with the scale and perspective changes that commonly exist in crowd …
A survey of crowd counting and density estimation based on convolutional neural network
Crowd counting and crowd density estimation methods are of great significance in the field
of public security. Estimating crowd density and counting from single image or video frame …
of public security. Estimating crowd density and counting from single image or video frame …
Privacy preserving crowd monitoring: Counting people without people models or tracking
AB Chan, ZSJ Liang… - 2008 IEEE conference on …, 2008 - ieeexplore.ieee.org
We present a privacy-preserving system for estimating the size of inhomogeneous crowds,
composed of pedestrians that travel in different directions, without using explicit object …
composed of pedestrians that travel in different directions, without using explicit object …
Counting people with low-level features and Bayesian regression
AB Chan, N Vasconcelos - IEEE Transactions on image …, 2011 - ieeexplore.ieee.org
An approach to the problem of estimating the size of inhomogeneous crowds, which are
composed of pedestrians that travel in different directions, without using explicit object …
composed of pedestrians that travel in different directions, without using explicit object …