Gait is an emergent biometric aimed essentially to recognise people by the way they walk.
Gait's advantages are that it requires no contact, like automatic face recognition, and that it is …

A system for automatic gait recognition without segmentation of particular body parts is
described. Eigenspace transformation (EST) has already proved useful for several tasks …

Using gait as a biometric is of increasing interest, yet there are few model-based, parametric,
approaches to extract and describe moving articulated objects. One new approach can …

Gait recognition, the process of identifying an individual by his/her walking style, is a
relatively new research area. It has been receiving wide attention in the computer vision …

Biometric methods for verifying, ie authenticating, someone's identity are increasingly being
used. Today's commercially available biometric systems show good reliability. However …

Gait is a new biometric aimed to recognize individuals by the way they walk. Gait recognition
has recently an increasing interest from researchers due to several advantages. In this …

Recognising people by gait is of emergent interest. A new model-based moving feature
extraction analysis is presented that automatically extracts and describes human gait for …

Gait recognition has recently attracted increasing interest from the biometric community. In
this paper, we propose a simple yet powerful new feature called multi-bipolarized contour …

Human activity recognition plays an essential role in e-health applications, such as
automatic nursing home systems, human-machine interface, home care system, and smart …

To recognize people by their gait from a sequence of images, we have proposed a statistical
approach which combined eigenspace transformation (EST) with canonical space …