Abstract Systems based on physiological biometrics are ubiquitous but requires subject
cooperation or high resolution to capture. Gait recognition is a great avenue for identification …

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

Human gait is a proven biometric trait with applications in security for authentication and
disease diagnosis. However, it is one-sided to express and interpret gait data from a single …

Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …

Abstract Human Gait Recognition (HGR) is a biometric approach, widely used for security
purposes from the past few decades. In HGR, the change in an individual walk along with …

In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …

This paper proposes a novel spatial-temporal deep neural network (STDNN) that is applied
to multi-view gait recognition. The STDNN comprises a temporal feature network (TFN) and …

As a promising biometric identification method, gait recognition has many advantages, such
as suitable for human identification at a long distance, requiring no contact and hard to …

Gait recognition is an active research area that uses a walking theme to identify the subject
correctly. Human Gait Recognition (HGR) is performed without any cooperation from the …

Human gait recognition has a wide range of applications in multiple fields, such as video
surveillance, digital security, and forensics. In this paper, we investigate the challenging …