On view-invariant gait recognition: A feature selection solution

Ning Jia, Victor Sanchez, Chang Tsun Li

Research output: Book chapter/Published conference paperConference paper

8 Citations (Scopus)

Abstract

The authors present an improved feature selection solution for the view-invariant gait recognition problem, based on their previously proposed method called view-invariant feature selector (ViFS), which automatically reconstruct an optimised gallery template from a set of multi-view gallery templates. They improved ViFS by introducing a constraint to make sure that the reconstructed features have the same scale as the original features, thus reducing the number of misclassifications caused by data misalignment. They evaluate the improved ViFS on the CASIA B and OU-ISIR large population datasets by performing a wide range of comparative studies in order to explore and confirm its effectiveness. Evaluation results indicate that the proposed framework is very effective for view-invariant gait recognition tasks.
Original languageEnglish
Title of host publicationIET Biometrics
Subtitle of host publicationSpecial Issue: Selected Papers from the International Workshop on Biometrics and Forensics (IWBF2017)
EditorsMichael Fairhurst
Place of PublicationUnited Kingdom
PublisherInstitution of Engineering and Technology (IET)
Pages287-295
Number of pages9
Volume7
Edition4
DOIs
Publication statusPublished - 25 Jun 2018
Event5th International Workshop on Biometrics and Forensics: IWBF 2017 - University of Warwick, Coventry, United Kingdom
Duration: 04 Apr 201705 Apr 2017
https://warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/iwbf2017/ (Conference website)

Publication series

NameIET Biometrics
PublisherThe Institution of Engineering and Technology
ISSN (Print)2047-4938

Conference

Conference5th International Workshop on Biometrics and Forensics
CountryUnited Kingdom
CityCoventry
Period04/04/1705/04/17
OtherIWBF is an international forum devoted specifically to facilitate synergies in research and development in the areas of multimedia forensics, forensicbiometrics and forensic science. IWBF provides the meeting place for those concerned with the usage of multimedia analysis in forensic applications and biometric recognition systems, attracting participants from industry, research, academia and end-users.
Internet address

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