Gait is a commonly used biometric for human recognition. Its main advantage relies on its
ability to identify people at distances at which other biometrics fail. In this paper, we develop …

We propose a new descriptor for human identification based on gait. The current and most
prevailing trend in gait representation revolves around encoding body shapes as silhouettes …

Human gait is an important biometric feature for identification of people. In this paper we
present a new dataset for gait recognition. The presented database overcomes a crucial …

As a new technology of biometrics, gait recognition has attracted a great deal of interest in
computer vision community due to its advantage of unobtrusive recognition at a distance. In …

Gait recognition is an emerging biometric technology which aims to identify people purely
through the analysis of the way they walk. The technology has attracted interest as a method …

Most contribution to the field of structure‐based human gait recognition has been done
through design of extraordinary gait features. Many research groups that address this topic …

In this paper, we introduce a new efficient feature for gait recognition, namely the boundary
energy image (BEI). To construct this feature, the contours of the binary silhouettes in a gait …

Gait recognition has received significant attention in the recent years due to its applications
in numerous fields of computer vision, particularly in automated person identification in …

Gait refers to the walking style of a person and it has emerged as an important biometric
feature for person identification. The gait recognition algorithms proposed in literature exploit …

Gait recognition is an evolving technology in the biometric domain; it aims to recognize
people through an analysis of their walking pattern. One of the significant challenges of the …