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Reseach Article

Gait Recognition using Shoulder Body Joint

by Jyoti Bharti, M. K. Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 4
Year of Publication: 2012
Authors: Jyoti Bharti, M. K. Gupta
10.5120/8413-2053

Jyoti Bharti, M. K. Gupta . Gait Recognition using Shoulder Body Joint. International Journal of Computer Applications. 53, 4 ( September 2012), 49-52. DOI=10.5120/8413-2053

@article{ 10.5120/8413-2053,
author = { Jyoti Bharti, M. K. Gupta },
title = { Gait Recognition using Shoulder Body Joint },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 4 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 49-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number4/8413-2053/ },
doi = { 10.5120/8413-2053 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:18.777197+05:30
%A Jyoti Bharti
%A M. K. Gupta
%T Gait Recognition using Shoulder Body Joint
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 4
%P 49-52
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduces a new gait recognition approach based on shoulder body joint using in intersection point. This approach is tested on a CASIA database of video sequences, corresponding 10 different subject of people. Obtained better recognition rate as compared to other methods. Consider two component of human body. The first component is shoulder and second component is feet. The second component is subdivided into two parts i. e. toe and heel of both right and left leg. Our proposed method increase the matching accuracy with 98 and 100 percent.

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Index Terms

Computer Science
Information Sciences

Keywords

Gait recognition Intersection Recognition Rate biometric