This paper presents a novel approach for human recognition by combining statistical gait
features from real and synthetic templates. Real templates are directly computed from …

The authors propose a simple but efficient approach to gait recognition. For each image
sequence, an improved background subtraction procedure is first used to accurately extract …

Gait recognition has recently gained significant attention, especially in vision-based
automated human identification at a distance in visual surveillance and monitoring …

Human gait and activity analysis from video is presently attracting a lot of attention in the
computer vision community. In this paper we analyze the role of two of the most important …

Gait is a spatio-temporal phenomenon that typifies the motion characteristics of an
individual. In this paper, we propose a view-based approach to recognize humans through …

A new system is proposed for gait analysis and recognition applications. The new system is
based on a denoising process and a new angular transform that are applied on binary …

We describe a new method for recognizing humans by their gait using back-propagation
neural network. Here, the gait motion is described as rhythmic and periodic motion, and a …

Human gait recognition is currently one of the most active research topics in computer
vision. Existing recognition methods suffer, in our opinion, from two shortcomings: either …

Most gait recognition approaches only study human walking frontoparallel to the image
plane which is not realistic in video surveillance applications. Human gait appearance …

In this paper, we systematically analyze different components of human gait, for the purpose
of human identification. We investigate dynamic features such as the swing of the …