As the remarkable characteristics of remote accessed, robust and security, gait recognition
has gained significant attention in the biometrics based human identification task. However …

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 …

Human identification by gait has created a great deal of interest in computer vision
community due to its advantage of inconspicuous recognition at a relatively far distance …

Human gait is an important biometric feature for person identification in surveillance videos
because it can be collected at a distance without subject cooperation. Most existing gait …

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

This paper proposes a method of gait recognition using a convolutional neural network
(CNN). Inspired by the great successes of CNNs in image recognition tasks, we feed in the …

The integration of the latest breakthroughs in bioinformatics technology from one side and
artificial intelligence from another side, enables remarkable advances in the fields of …

Gait recognition is a biometric technology that recognizes the identity of humans through
their walking patterns. Compared with other biometric technologies, gait recognition is more …

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 …

In this paper, we propose a new spatio-temporal gait representation, called Gait Energy
Image (GEI), to characterize human walking properties for individual recognition by gait. To …