Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis

Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis

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...

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Bibliographic Details
Main Authors: Jose Portillo-Portillo, Roberto Leyva, Victor Sanchez, Gabriel Sanchez-Perez, Hector Perez-Meana, Jesus Olivares-Mercado, Karina Toscano-Medina, Mariko Nakano-Miyatake
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sensors
Subjects:
gait recognition
view-invariant methods
gait energy image (GEI)
direct linear discriminant analysis (DLDA)
KNN classifier
Online Access:http://www.mdpi.com/1424-8220/17/1/6

Internet

http://www.mdpi.com/1424-8220/17/1/6

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