Estimation of crowd density applying wavelet transform and machine learning

@article{Nagao2018EstimationOC,
  title={Estimation of crowd density applying wavelet transform and machine learning},
  author={Koki Nagao and Daichi Yanagisawa and Katsuhiro Nishinari},
  journal={ArXiv},
  year={2018},
  volume={abs/1903.07806}
}
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25 Citations
Background Citations
3
Methods Citations
5

25 Citations

Crowd density estimation based on classification activation map and patch density level

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Estimation of pedestrian crowds' properties using commercial tablets and smartphones

The proposed approach uses angular velocity and acceleration measurements obtained from inertial sensors to judge amount of body motion and therefore estimate walking velocity and density and may help getting a general picture of pedestrian crowds' condition over large areas with greater employment flexibility.

Crowd density detection method based on crowd gathering mode and multi-column convolutional neural network

Crowd density classification method based on pixels and texture features

An adaptive crowd density classification method based on pixels and texture features which can reach to 98.2%, whose indexes of MAE and MSE also outperform the most existing methods.

Multiview-Fusion-Based Crowd Density Estimation Method for Dense Crowd

This method is applied to the crowd gathering safety situation assessment of Suzhou city life fountain square, and achieves good results, which provides theoretical support for the safety control of crowd gathering place based on the Internet of things.

A convolutional neural‐network‐based pedestrian counting model for various crowded scenes

A new network model making use of stacked multicolumn convolutional neural networks (CNNs) for pedestrian counting with considerable advantages in pedestrian counting tasks compared to other state‐of‐the‐art models is proposed and has an improvement effect for the training process.

RF-Driven Crowd-Size Classification via Machine Learning

In this letter, we propose a machine learning solution for crowd-size classification in an indoor environment. Narrow-band radio frequency signals are used to identify a pattern according to the…

Overcrowding Detection Based on Crowd-Gathering Pattern Model

Different cases of crowd gathering based on Edward Hall’s personal space theory are discussed and a novel crowd gathering pattern model is constructed and a modified multi-column convolutional neural network is proposed for extracting the overcrowding.

Empirical methods in pedestrian, crowd and evacuation dynamics: Part I. Experimental methods and emerging topics

Analysis and modelling of macroscopic and microscopic dynamics of a pedestrian cross-flow

In this work we investigate the behaviour of a human crowd in a cross-flow. In the first part of our work we analyse the results of a set of controlled experiments in which subjects were divided into…

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