title: Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis.
abstract: This paper proposes a view-invariant gait recognition framework that employs a unique view invariant model that profits from the dimensionality reduction provided by Direct Linear Discriminant Analysis (DLDA). The framework, which employs gait energy images (GEIs), creates a single joint model that accurately classifies GEIs captured at different angles. Moreover, the proposed framework also helps to reduce the under-sampling problem (USP) that usually appears when the number of training samples is much smaller than the dimension of the feature space. Evaluation experiments compare the proposed framework's computational complexity and recognition accuracy against those of other view-invariant methods. Results show improvements in both computational complexity and recognition accuracy.
authors.affiliation: Instituto Politécnico Nacional, ESIME Culhuacan, 04430 Coyoacán, CDMX, Mexico. jportillop1300@alumno.ipn.mx.
authors.forename: Jose
authors.initials: J
authors.lastname: Portillo-Portillo
authors.affiliation: Department of Computer Science, University of Warwick, CV4 7AL Coventry, UK. M.R.Leyva-Fernandez@warwick.ac.uk.
authors.forename: Roberto
authors.initials: R
authors.lastname: Leyva
authors.affiliation: Department of Computer Science, University of Warwick, CV4 7AL Coventry, UK. V.F.Sanchez-Silva@warwick.ac.uk.
authors.forename: Victor
authors.initials: V
authors.lastname: Sanchez
authors.affiliation: Instituto Politécnico Nacional, ESIME Culhuacan, 04430 Coyoacán, CDMX, Mexico. gasanchezp@ipn.mx.
authors.forename: Gabriel
authors.initials: G
authors.lastname: Sanchez-Perez
authors.affiliation: Instituto Politécnico Nacional, ESIME Culhuacan, 04430 Coyoacán, CDMX, Mexico. hmperezm@ipn.mx.
authors.forename: Hector
authors.initials: H
authors.lastname: Perez-Meana
authors.affiliation: Instituto Politécnico Nacional, ESIME Culhuacan, 04430 Coyoacán, CDMX, Mexico. jolivares@ipn.mx.
authors.forename: Jesus
authors.initials: J
authors.lastname: Olivares-Mercado
authors.affiliation: Instituto Politécnico Nacional, ESIME Culhuacan, 04430 Coyoacán, CDMX, Mexico. ltoscanom@ipn.mx.
authors.forename: Karina
authors.initials: K
authors.lastname: Toscano-Medina
authors.affiliation: Instituto Politécnico Nacional, ESIME Culhuacan, 04430 Coyoacán, CDMX, Mexico. mnakano@ipn.mx.
authors.forename: Mariko
authors.initials: M
authors.lastname: Nakano-Miyatake
mesh_terms: D016002:Discriminant Analysis; D005684:Gait / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated
keywords: KNN classifier; direct linear discriminant analysis (DLDA); gait energy image (GEI); gait recognition; view-invariant methods