TY - JOUR
T1 - Cross view gait recognition using joint-direct linear discriminant analysis
AU - Portillo-Portillo, Jose
AU - Leyva, Roberto
AU - Sanchez, Victor
AU - Sanchez-Perez, Gabriel
AU - Perez-Meana, Hector
AU - Olivares-Mercado, Jesus
AU - Toscano-Medina, Karina
AU - Nakano-Miyatake, Mariko
N1 - Publisher Copyright:
© 2016 by the authors; licensee MDPI, Basel, Switzerland.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Direct linear discriminant analysis (DLDA)
KW - Gait energy image (GEI)
KW - Gait recognition
KW - KNN classifier
KW - View-invariantmethods
UR - http://www.scopus.com/inward/record.url?scp=85007373626&partnerID=8YFLogxK
U2 - 10.3390/s17010006
DO - 10.3390/s17010006
M3 - Artículo
C2 - 28025484
SN - 1424-8220
VL - 17
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 1
M1 - 6
ER -