The task of identifying people by the way they walk is known asgait recognition'. Although
gait is mainly used for identification, additional tasks as gender recognition or age estimation …

This work targets people identification in video based on the way they walk (ie gait) by using
deep learning architectures. We explore the use of convolutional neural networks (CNN) 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 …

People identification in video based on the way they walk (ie, gait) is a relevant task in
computer vision using a noninvasive approach. Standard and current approaches typically …

Non-interactive biometric systems have gained an enormous interest from computer vision
researchers as they provide more efficient and reliable ways of identification and …

Biometrie identification systems have become immensely popular and important because of
their high reliability and efficiency. However person identification at a distance, still remains …

Gait recognition is recognizing human through the style in which they walk. However, the
recognition task can become complicated due to the existence of covariate factors (eg …

With growing ageing population, acquiring joint measurements with sufficient accuracy for
reliable gait assessment is essential. Additionally, the quality of gait analysis relies heavily …

In this paper, we provide some insights towards understanding the uniqueness of gait (ankle
motion) by relating the discriminativeness of gait to the shoe type, direction of the motion and …

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