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 …

The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …

Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …

This work targets people identification in video based on the way they walk (ie gait). While
classical methods typically derive gait signatures from sequences of binary silhouettes, in …

Gait has been considered as a promising and unique biometric for person identification.
Traditionally, gait data are collected using either color sensors, such as a CCD camera …

A biometric classification system is utilized to judge the features of human expression by
recognizing distinct parameters. Human Gait Recognition (HGR) is a current research area …

Vision-based person identification using gait is one of the important and challenging tasks in
the fields of computer vision and machine learning. It has received significant research …

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 …

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 …

Human gait or walking manner is a biometric feature that allows identification of a person
when other biometric features such as the face or iris are not visible. In this study, the …