This paper proposes a supervised feature extraction approach that is capable of selecting
distinctive features for the recognition of human gait under clothing and carrying conditions …

This paper proposes a supervised feature extraction approach which is capable to select
distinctive features for the recognition of human gait under clothing and carrying conditions …

This paper proposes a supervised feature extraction method which is able to select
discriminative features for human gait recognition under the variations of clothing and …

The performance of gait recognition systems are usually affected by clothing, carrying
conditions, and other intraclass variations which are also referred to as" covariates". This …

Human gait recognition is a biometric technique for persons identification based on their
walking manner. This paper proposes a novel gait recognition approach capable of …

Recently, human gait pattern has turned into an essential biometric feature to recognize an
individual remotely. Gait as a feature becomes challenging owing to variation in appearance …

Gait recognition is an evolving technology in the biometric domain; it aims to recognize
people through an analysis of their walking pattern. One of the significant challenges of the …

Gait recognition is an emerging biometric technology which aims to identify people purely
through the analysis of the way they walk. The technology has attracted interest as a method …

Human gait recognition, an alternate biometric technique, received significant attention in
the last decade. As many gait recognition applications require real-time response, the …

In this paper, we present a novel and efficient gait recognition system. The proposed system
uses two novel gait representations, ie, the shifted energy image and the gait structural …