Principal component analysis for human gait recognition system

This paper represents a method for Human Recognition system using Principal Component Analysis. Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The initial step in this kind of system is to generate silhouette fram...

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Main Authors:	Khalifa, Othman Omran, Jawed, Bilal, Bhuiyn, Sharif Shah Newaj
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science. 2019
Subjects:	T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/72092/ http://irep.iium.edu.my/72092/ http://irep.iium.edu.my/72092/ http://irep.iium.edu.my/72092/1/72092_Principal%20component%20analysis%20for%20human.pdf http://irep.iium.edu.my/72092/7/72092_Principal%20component%20analysis%20for%20human%20gait%20recognition%20system_Scopus.pdf

id	iium-72092
recordtype	eprints
spelling	iium-720922019-11-24T13:27:06Z http://irep.iium.edu.my/72092/ Principal component analysis for human gait recognition system Khalifa, Othman Omran Jawed, Bilal Bhuiyn, Sharif Shah Newaj T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television This paper represents a method for Human Recognition system using Principal Component Analysis. Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The initial step in this kind of system is to generate silhouette frames of walking human. A number of features couldb be exytacted from these frames such as centriod ratio, heifht, width and orientation. The Principal Component Analysis (PCA) is used for the extracted features to condense the information and produces the main components that can represent the gait sequences for each waiking human. In the testing phase, the generated gait sequences are recognized by using a minimum distance classifier based on eluclidean distance matched with the one that already exist in the database used to identify walking subject. Institute of Advanced Engineering and Science. 2019-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72092/1/72092_Principal%20component%20analysis%20for%20human.pdf application/pdf en http://irep.iium.edu.my/72092/7/72092_Principal%20component%20analysis%20for%20human%20gait%20recognition%20system_Scopus.pdf Khalifa, Othman Omran and Jawed, Bilal and Bhuiyn, Sharif Shah Newaj (2019) Principal component analysis for human gait recognition system. Bulletin of Electrical Engineering and Informatics, 8 (2). pp. 571-578. ISSN 2302-9285 http://journal.portalgaruda.org/index.php/EEI/article/view/1493 10.11591/eei.v8i2.1493
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television Khalifa, Othman Omran Jawed, Bilal Bhuiyn, Sharif Shah Newaj Principal component analysis for human gait recognition system
description	This paper represents a method for Human Recognition system using Principal Component Analysis. Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The initial step in this kind of system is to generate silhouette frames of walking human. A number of features couldb be exytacted from these frames such as centriod ratio, heifht, width and orientation. The Principal Component Analysis (PCA) is used for the extracted features to condense the information and produces the main components that can represent the gait sequences for each waiking human. In the testing phase, the generated gait sequences are recognized by using a minimum distance classifier based on eluclidean distance matched with the one that already exist in the database used to identify walking subject.
format	Article
author	Khalifa, Othman Omran Jawed, Bilal Bhuiyn, Sharif Shah Newaj
author_facet	Khalifa, Othman Omran Jawed, Bilal Bhuiyn, Sharif Shah Newaj
author_sort	Khalifa, Othman Omran
title	Principal component analysis for human gait recognition system
title_short	Principal component analysis for human gait recognition system
title_full	Principal component analysis for human gait recognition system
title_fullStr	Principal component analysis for human gait recognition system
title_full_unstemmed	Principal component analysis for human gait recognition system
title_sort	principal component analysis for human gait recognition system
publisher	Institute of Advanced Engineering and Science.
publishDate	2019
url	http://irep.iium.edu.my/72092/ http://irep.iium.edu.my/72092/ http://irep.iium.edu.my/72092/ http://irep.iium.edu.my/72092/1/72092_Principal%20component%20analysis%20for%20human.pdf http://irep.iium.edu.my/72092/7/72092_Principal%20component%20analysis%20for%20human%20gait%20recognition%20system_Scopus.pdf
first_indexed	2023-09-18T21:42:12Z
last_indexed	2023-09-18T21:42:12Z
_version_	1777413215158796288

Principal component analysis for human gait recognition system

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