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Reseach Article

A New Methodology for Crowd Estimation: Linear Quadratic Estimation

by Jugal Kishor Gupta, S.K. Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 7
Year of Publication: 2015
Authors: Jugal Kishor Gupta, S.K. Gupta
10.5120/ijca2015906370

Jugal Kishor Gupta, S.K. Gupta . A New Methodology for Crowd Estimation: Linear Quadratic Estimation. International Journal of Computer Applications. 127, 7 ( October 2015), 37-40. DOI=10.5120/ijca2015906370

@article{ 10.5120/ijca2015906370,
author = { Jugal Kishor Gupta, S.K. Gupta },
title = { A New Methodology for Crowd Estimation: Linear Quadratic Estimation },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 7 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number7/22745-2015906370/ },
doi = { 10.5120/ijca2015906370 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:19:17.740785+05:30
%A Jugal Kishor Gupta
%A S.K. Gupta
%T A New Methodology for Crowd Estimation: Linear Quadratic Estimation
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 7
%P 37-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently, crowd estimation techniques in real-time are more popular research field using computer vision. here understand the behavior of the system using Linear Quadratic Estimation or kalman filter with new proposed index parameter which will help to understand the accuracy of the system still no more parameter discover to judge the accuracy of the system which is us to estimate the crowd or tracking the crowd. Crowd estimation does play an very critical role in intelligent crowd monitoring. All results have been implemented in MATLAB R2013.

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Index Terms

Computer Science
Information Sciences

Keywords

crowd filter parameter kalman and Linear Quadratic Estimation.