TY - JOUR
T1 - Gait recognition based on modified phase-only correlation
AU - Rida, Imad
AU - Al-Maadeed, Somaya
AU - Bouridane, Ahmed
PY - 2016/3/1
Y1 - 2016/3/1
N2 - Gait recognition is an emerging biometric technology aiming to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is noncontact and does not require the subject’s cooperation. Clothing, carrying conditions and other intra-class variations, also referred to as “covariates,” affect the performance of gait recognition systems. This paper proposes a supervised feature extraction method, which is able to select relevant discriminative features for human recognition to mitigate the impact of covariates and hence improve the recognition performances. The proposed method is evaluated using the CASIA gait database (dataset B), and the experimental results suggest that our method yields 81.40 % of correct classification when compared against similar techniques which do not exceed 77.96 %.
AB - Gait recognition is an emerging biometric technology aiming to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is noncontact and does not require the subject’s cooperation. Clothing, carrying conditions and other intra-class variations, also referred to as “covariates,” affect the performance of gait recognition systems. This paper proposes a supervised feature extraction method, which is able to select relevant discriminative features for human recognition to mitigate the impact of covariates and hence improve the recognition performances. The proposed method is evaluated using the CASIA gait database (dataset B), and the experimental results suggest that our method yields 81.40 % of correct classification when compared against similar techniques which do not exceed 77.96 %.
KW - Gait recognition
KW - phase-only correlation
KW - feature selection
KW - biometric recognition
U2 - 10.1007/s11760-015-0766-4
DO - 10.1007/s11760-015-0766-4
M3 - Article
VL - 10
SP - 463
EP - 470
JO - Signal, Image and Video Processing
JF - Signal, Image and Video Processing
SN - 1863-1703
IS - 3
ER -