One of the most attractive biometric techniques is gait recognition, since its potential for
human identification at a distance. But gait recognition is still challenging in real applications …

We propose in this paper a novel model-based gait recognition method, PoseGait. Gait
recognition is a challenging and attractive task in biometrics. Early approaches to gait …

Gait recognition is a biometric technology that recognizes the identity of humans through
their walking patterns. Compared with other biometric technologies, gait recognition is more …

Gait as a biometric feature is widely used for human identification, and gait recognition has
recently become a significant research problem. According to a small amount of labeled …

Human gait recognition is one of the most promising biometric technologies, especially for
unobtrusive video surveillance and human identification from a distance. Aiming at …

Gait recognition plays a special role in visual surveillance due to its unique advantage, eg,
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …

In this paper, we propose a new spatio-temporal gait representation, called Gait Energy
Image (GEI), to characterize human walking properties for individual recognition by gait. To …

As a unique biometric feature that can be recognized at a distance, gait has broad
applications in crime prevention, forensic identification and social security. To portray a gait …

Many of the existing gait recognition approaches represent a gait cycle using a single 2D
image called Gait Energy Image (GEI) or its variants. Since these methods suffer from lack of …

It is a challenging task to identify a person based on her/his gait patterns. State-of-the-art
approaches rely on the analysis of temporal or spatial characteristics of gait, and gait …