Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …

Gait recognition which is one of the most important and effective biometric technologies has
a significant advantage in long-distance recognition systems. For existing gait recognition …

Gait recognition is of great importance in the fields of surveillance and forensics to identify
human beings since gait is the unique biometric feature that can be perceived efficiently at a …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

In this paper, we propose a pairwise spatial transformer network (PSTN) for cross-view gait
recognition, which reduces unwanted feature mis-alignment due to view differences before a …

Canonical correlation analysis (CCA) is a well-known multivariate analysis method for
quantifying the correlations between two sets of multidimensional variables. However, for …

This paper proposes a novel active energy image (AEI) method for gait recognition. Existing
human gait feature representation methods, however, usually suffer from low quality of …

Gait is one of well recognized biometrics that has been widely used for human identification.
However, the current gait recognition might have difficulties due to viewing angle being …

Gait is a well recognized biometric feature that is used to identify a human at a distance.
However, in real environment, appearance changes of individuals due to viewing angle …

It is well recognized that gait is an important biometric feature to identify a person at a
distance, eg, in video surveillance application. However, in reality, change of viewing angle …