Human gait recognition: viewing angle effect on normal walking pattern

Gait recognition has recently gained interest of researchers as it performs identification of subjects at a distance from the camera. However, due to the changes in the viewing angles, it gets cumbersome for a system to perform recognition based on the walking pattern of an individual. In this work,...

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Main Authors:	Makhdoomi, Nahid A., Gunawan, Teddy Surya, Habaebi, Mohamed Hadi, Ab Rahim, Rosminazuin
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/41841/ http://irep.iium.edu.my/41841/ http://irep.iium.edu.my/41841/1/41841_edited.pdf http://irep.iium.edu.my/41841/4/41841_Human%20gait%20recognition_Scopus.pdf

id	iium-41841
recordtype	eprints
spelling	iium-418412017-09-23T02:53:12Z http://irep.iium.edu.my/41841/ Human gait recognition: viewing angle effect on normal walking pattern Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi Ab Rahim, Rosminazuin TK Electrical engineering. Electronics Nuclear engineering Gait recognition has recently gained interest of researchers as it performs identification of subjects at a distance from the camera. However, due to the changes in the viewing angles, it gets cumbersome for a system to perform recognition based on the walking pattern of an individual. In this work, the aim is to propose a simple baseline method for the purpose of human recognition based on the shape of its body and walking pattern when the subject is observed from different viewing angles. The recognition is also tested on the subjects in a scenario where the individual subjects are registered while walking in normal walking pattern followed by the testing in normal walking mode, apart from being observed at different viewing angles. Gait periodicity is estimated after extracting the silhouettes of an individual, followed by obtaining the total silhouette representation of an individual using Matlab. The total silhouette representations obtained from the probe gait data are compared to the gallery gait data representations for the purpose of similarity computation by calculating the RMS value between the said representations. Higher the value, lesser is the similarity & vice versa. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/41841/1/41841_edited.pdf application/pdf en http://irep.iium.edu.my/41841/4/41841_Human%20gait%20recognition_Scopus.pdf Makhdoomi, Nahid A. and Gunawan, Teddy Surya and Habaebi, Mohamed Hadi and Ab Rahim, Rosminazuin (2014) Human gait recognition: viewing angle effect on normal walking pattern. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7031611&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_Publication_Number%3A7031477%29%26pageNumber%3D2
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi Ab Rahim, Rosminazuin Human gait recognition: viewing angle effect on normal walking pattern
description	Gait recognition has recently gained interest of researchers as it performs identification of subjects at a distance from the camera. However, due to the changes in the viewing angles, it gets cumbersome for a system to perform recognition based on the walking pattern of an individual. In this work, the aim is to propose a simple baseline method for the purpose of human recognition based on the shape of its body and walking pattern when the subject is observed from different viewing angles. The recognition is also tested on the subjects in a scenario where the individual subjects are registered while walking in normal walking pattern followed by the testing in normal walking mode, apart from being observed at different viewing angles. Gait periodicity is estimated after extracting the silhouettes of an individual, followed by obtaining the total silhouette representation of an individual using Matlab. The total silhouette representations obtained from the probe gait data are compared to the gallery gait data representations for the purpose of similarity computation by calculating the RMS value between the said representations. Higher the value, lesser is the similarity & vice versa.
format	Conference or Workshop Item
author	Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi Ab Rahim, Rosminazuin
author_facet	Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi Ab Rahim, Rosminazuin
author_sort	Makhdoomi, Nahid A.
title	Human gait recognition: viewing angle effect on normal walking pattern
title_short	Human gait recognition: viewing angle effect on normal walking pattern
title_full	Human gait recognition: viewing angle effect on normal walking pattern
title_fullStr	Human gait recognition: viewing angle effect on normal walking pattern
title_full_unstemmed	Human gait recognition: viewing angle effect on normal walking pattern
title_sort	human gait recognition: viewing angle effect on normal walking pattern
publishDate	2014
url	http://irep.iium.edu.my/41841/ http://irep.iium.edu.my/41841/ http://irep.iium.edu.my/41841/1/41841_edited.pdf http://irep.iium.edu.my/41841/4/41841_Human%20gait%20recognition_Scopus.pdf
first_indexed	2023-09-18T20:59:47Z
last_indexed	2023-09-18T20:59:47Z
_version_	1777410546079891456

Human gait recognition: viewing angle effect on normal walking pattern

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