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 is one of the most important biometric technologies and has been applied in
many fields. Recent gait recognition frameworks represent each gait frame by descriptors …

Gait recognition aims at identifying different people by the walking patterns, which can be
conducted at a long distance without the cooperation of subjects. A key challenge for gait …

This paper studies an approach to gait based human identification via similarity learning by
deep convolutional neural networks (CNNs). With a pretty small group of labeled multi-view …

Gait is one of the most promising biometrics that aims to identify pedestrians from their
walking patterns. However, prevailing methods are susceptible to confounders, resulting in …

Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …

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 …

Gait recognition is a biometric technique used in determining the identity of humans based
on the style and the manner of their walk. Its performance is often degraded by covariate …

Gait recognition, which aims at identifying individuals by their walking patterns, has recently
drawn increasing research attention. However, gait recognition still suffers from the conflicts …