In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

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 …

Here, we present IDNet, a user authentication framework from smartphone-acquired motion
signals. Its goal is to recognize a target user from their way of walking, using the …

Gait recognition aims to recognize persons' identities by walking styles. Gait recognition has
unique advantages due to its characteristics of non-contact and long-distance compared …

Most existing person re-identification (ReID) methods rely only on the spatial appearance
information from either one or multiple person images, whilst ignore the space-time cues …

Tensor analysis methods have played an important role in identifying human gaits using
high dimensional data. However, when view angles change, it becomes more and more …

Human gait recognition has emerged as a branch of biometric identification in the last
decade, focusing on individuals based on several characteristics such as movement, time …

Human gait analysis is a novel topic in the field of computer vision with many famous
applications like prediction of osteoarthritis and patient surveillance. In this application, the …

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 …

Gait recognition is an emerging biometric technology that identifies people through the
analysis of the way they walk. The challenge of model-free based gait recognition is to cope …