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 …

In this paper, we investigate human repetitive activity properties from thermal infrared
imagery, where human motion can be easily detected from the background regardless of …

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

Substituted 3H-pyrrolo [2, 3-d] pyrimidin-2 (7H)-one nucleoside analogues have been
synthesised from 5-alkynyl-uridine derivatives, incorporated into triplex forming …

In this paper we introduce a novel approach for learning view-invariant gait representation
that does not require synthesizing particular views or any camera calibration. Given walking …

Human recognition from arbitrary views is an important task for many applications, such as
visual surveillance, covert security and access control. It has been found to be very difficult in …

This paper describes a unified approach, based on Gaussian Processes, for achieving
sensor fusion under the problematic conditions of missing channels and noisy labels. Under …

Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics
of an individual. It is possible to detect and measure gait even in low-resolution video. In this …

This paper addresses the problem of predicting recognition performance on a large
population from a small gallery. Unlike the current approaches based on a binomial model …

Human gait properties can be affected by various environmental contexts such as walking
surface and carrying objects. In this paper, we propose a novel approach for individual …