This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …

In this paper, we present a comprehensive review of the literature on biometric user
authentication, encompassing an analysis of key aspects such as the selection of biometric …

Despite much recent progress in video-based person re-identification (re-ID), the current
state-of-the-art still suffers from common real-world challenges such as appearance …

Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of
the existing gait recognition methods take silhouettes or articulated body models as gait …

Gait recognition aims to recognize persons' identities by walking styles. Gait recognition has
unique advantages due to its characteristics of non-contact and long-distance compared …

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 …

Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …

For decades, gait has been gathering extensive interest due to the advantage that it can be
measured from a distance without physical contact. However, for image/video-based gait …

Human gait is a biometric that is being used in security systems because it is unique for
each individual and helps recognise one from a distance without any intervention. To …

Background Walking is a periodic activity with each gait cycle or stride consisting of stance
and swing phases (see Fig. 1). Two consecutive gait cycles correspond to the left stride and …