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 …

Gait Energy Image (GEI) has been proved to be an effective identity signature in gait
recognition. But previous approaches only treat this 2D image representation as a holistic …

Gait Energy Image (GEI) is an efficient template for human identification by gait. However,
such a template loses temporal information in a gait sequence, which is critical to the …

This paper proposes a novel active energy image (AEI) method for gait recognition. Existing
human gait feature representation methods, however, usually suffer from low quality of …

In this paper, we present a novel and efficient gait recognition system. The proposed system
uses two novel gait representations, ie, the shifted energy image and the gait structural …

In this paper, we propose a novel temporal template, called Chrono-Gait Image (CGI), to
describe the spatio-temporal walking pattern for human identification by gait. The CGI …

Gait as a behavioural biometric is concerned with how people walk. However, most existing
gait representations capture both motion and appearance information. They are thus …

In this paper, we propose a novel gait representation—gait flow image (GFI) for use in gait
recognition. This representation will further improve recognition rates. The basis of GFI is the …

One of the most attractive biometric techniques is gait recognition, since its potential for
human identification at a distance. But gait recognition is still challenging in real applications …

Many of the existing gait recognition approaches represent a gait cycle using a single 2D
image called Gait Energy Image (GEI) or its variants. Since these methods suffer from lack of …