Gait recognition stands as a crucial method for distant person identification. Most state-of-the-
art gait recognition frameworks consists of two modules: feature extraction and feature …

Gait recognition is one of the most important techniques for human identification at a
distance. Most current gait recognition frameworks consist of several separate steps …

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 …

In this paper, we propose a gait recognition method using a convolutional neural network
(CNN). A CNN architecture is designed and trained to learn an efficient representation with …

Gait recognition is a biometric technology based on the human walking state. Unlike other
biometric technologies, gait recognition can be used for remote recognition and the human …

Gait recognition is a long range biometric technology that identifies individuals by their
walking patterns. Currently, gait recognition primarily extracts gait features using …

Gait recognition has significant potential for remote human identification, but it is easily
influenced by identity-unrelated factors such as clothing, carrying conditions, and view …

Gait recognition distinguishes one individual from others according to the natural patterns of
human gaits. Gait recognition is a challenging signal processing technology for biometric …

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 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 …