This paper presents a gait recognition method which combines spatio-temporal motion
characteristics, statistical and physical parameters (referred to as STM–SPP) of a human …

This paper presents a three-phase gait recognition method that analyses the spatio-
temporal shape and dynamic motion (STS-DM) characteristics of a human subject's …

In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-
temporal templates of sequences of silhouette images, the motion silhouette contour …

Gait recognition has recently gained significant attention from computer vision researchers.
This interest is strongly motivated by the need for automated person identification systems at …

Gait is a novel biometric feature that offers human identification at a distance and without
physical interaction with the imaging device. Moreover, it performs well even in low …

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 …

This paper presents a novel approach for human identification at a distance using gait
recognition. Recognition of a person from their gait is a biometric of increasing interest. The …

Human identification at a distance has recently gained growing interest from computer vision
researchers. Gait recognition aims essentially to address this problem by identifying people …

Recent studies have shown that shape cues should dominate gait recognition. This
motivates us to perform gait recognition through shape features in 2D human silhouettes. In …

In this paper, we present a new silhouette-based gait recognition method via deterministic
learning theory, which combines spatio-temporal motion characteristics and physical …