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Human gait recognition system

Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to sum...

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Main Authors:	Jawed, Bilal, Khalifa, Othman Omran, Bhuiyan, Sharif Shah Newaj
Format:	Conference or Workshop Item
Language:	English English
Published:	Kulliyyah of Engineering, International Islamic University Malaysia 2018
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/68115/1/68115_Human%20Gait%20Recognition%20System.pdf http://irep.iium.edu.my/68115/7/68115_Human%20gait%20recognition%20system_SCOPUS.pdf http://irep.iium.edu.my/68115/ https://ieeexplore.ieee.org/document/8539245
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id	my.iium.irep.68115
record_format	dspace
spelling	my.iium.irep.681152019-01-19T11:25:52Z http://irep.iium.edu.my/68115/ Human gait recognition system Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj T10.5 Communication of technical information Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to summarize the research and related work done in the past on human gait recognition system and to solve algorithms which helps in identify walking subject from distance without any permission and interference of the walking subject. This can be achieved by making a database in which we record a video of the subject from a camera and then converting the video into frames of still images and later applying feature extraction techniques to get the silhouettes and training the silhouettes with principal component analysis. The input images are then matched with the one that already exist in the database used to identify walking subject. Kulliyyah of Engineering, International Islamic University Malaysia 2018-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/68115/1/68115_Human%20Gait%20Recognition%20System.pdf application/pdf en http://irep.iium.edu.my/68115/7/68115_Human%20gait%20recognition%20system_SCOPUS.pdf Jawed, Bilal and Khalifa, Othman Omran and Bhuiyan, Sharif Shah Newaj (2018) Human gait recognition system. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539245 10.1109/ICCCE.2018.8539245
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj Human gait recognition system
description	Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to summarize the research and related work done in the past on human gait recognition system and to solve algorithms which helps in identify walking subject from distance without any permission and interference of the walking subject. This can be achieved by making a database in which we record a video of the subject from a camera and then converting the video into frames of still images and later applying feature extraction techniques to get the silhouettes and training the silhouettes with principal component analysis. The input images are then matched with the one that already exist in the database used to identify walking subject.
format	Conference or Workshop Item
author	Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj
author_facet	Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj
author_sort	Jawed, Bilal
title	Human gait recognition system
title_short	Human gait recognition system
title_full	Human gait recognition system
title_fullStr	Human gait recognition system
title_full_unstemmed	Human gait recognition system
title_sort	human gait recognition system
publisher	Kulliyyah of Engineering, International Islamic University Malaysia
publishDate	2018
url	http://irep.iium.edu.my/68115/1/68115_Human%20Gait%20Recognition%20System.pdf http://irep.iium.edu.my/68115/7/68115_Human%20gait%20recognition%20system_SCOPUS.pdf http://irep.iium.edu.my/68115/ https://ieeexplore.ieee.org/document/8539245
_version_	1643618857203531776
score	13.211869

Human gait recognition system

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