Please use this identifier to cite or link to this item: http://tainguyenso.dut.udn.vn/handle/DUT/4149
Title: Estimate the size of crowd by KERAS and CNN
Authors: Thai, Duy Dat
Keywords: CSRnet;Deep learning;Neuron network
Issue Date: 2022
Publisher: Trường Đại học Bách khoa - Đại học Đà Nẵng
Abstract: 
Currently, estimate the size of crowd is very necessary due to the complicated situation of the epidemic. There are many methods of crowd estimation currently proposed such as the method based on the HOG algorithm combined with SVM, the regression-based approach (using Fourier and SIFT analysis), the method using the MCNN, but the mean absolute error (MAE) and mean square error (MSE) are still high. In this report, I have estimated the number of people in the crowd using CSRnet which is a convolutional neural network with ten hidden layers, and the data after each estimate is stored on thingspeak.com
Description: 
DA.FA.22.082 ; 48 p.
URI: http://tainguyenso.dut.udn.vn/handle/DUT/4149
Appears in Collections:DA.Tin học công nghiệp

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