NDLI: Information set based features for the speed invariant gait recognition

Content Provider	IET Digital Library
Author	Medikonda, Jeevan Madasu, Hanmandlu Ketan, Panigrahi Bijaya
Abstract	A novel speed-invariant gait features called two-fold information set (2FInS) features that capture both spatial and temporal variations in a gait cycle are proposed in this study. These features are obtained by applying first histogram of oriented gradients descriptors on the gait images followed by the representation of the underlying possibilistic uncertainty using the Hanman–Jeevan entropy function. The 2FInS features are validated on three databases: CASIA-C, OU-ISIR Treadmill-A and OU-ISIR Treadmill-D using Procrustes distance based classifier. In view of accounting both spatial and temporal information distributed throughout a gait cycle, the results obtained are superior to those of the existing methods.
Starting Page	269
Ending Page	277
Page Count	9
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 3, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0136
Journal	IET Biometrics
Publisher Date	2017-10-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2FInS Features CASIA-C Computer Vision And Image Processing Technique Entropy Gait Analysis Gait Image Hanman–Jeevan Entropy Function Histogram of Oriented Gradients Descriptors Human Gait Image Classification Image Recognition Information Set Based Feature OU-ISIR Treadmill-A OU-ISIR Treadmill-D Procrustes Distance Based Classifier Speed Invariant Gait Recognition Two-fold Information Set Feature
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

On view-invariant gait recognition: a feature selection solution

Gait features fusion for efficient automatic age classification

Multi-perspective gait recognition based on classifier fusion

The OU-ISIR Gait Database Comprising the Treadmill Dataset

Multilinear Laplacian discriminant analysis for gait recognition

Speed-invariant gait recognition based on Procrustes Shape Analysis using higher-order shape configuration

Human gait identification from extremely low-quality videos: an enhanced classifier ensemble method

Keystroke Dynamics Based Authentication Using Information Sets

The OU-ISIR gait database comprising the large population dataset and performance evaluation of gait recognition (2012)

Information set based features for the speed invariant gait recognition

Similar Documents

On view-invariant gait recognition: a feature selection solution

Gait features fusion for efficient automatic age classification

Multi-perspective gait recognition based on classifier fusion

The OU-ISIR Gait Database Comprising the Treadmill Dataset

Multilinear Laplacian discriminant analysis for gait recognition

Speed-invariant gait recognition based on Procrustes Shape Analysis using higher-order shape configuration

Human gait identification from extremely low-quality videos: an enhanced classifier ensemble method

Keystroke Dynamics Based Authentication Using Information Sets

The OU-ISIR gait database comprising the large population dataset and performance evaluation of gait recognition (2012)

Information set based features for the speed invariant gait recognition