Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

Human gait recognition is one of the most promising biometric technologies, especially for
unobtrusive video surveillance and human identification from a distance. Aiming at …

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 …

Most existing person re-identification (ReID) methods rely only on the spatial appearance
information from either one or multiple person images, whilst ignore the space-time cues …

A problem that hinders good performance of general gait recognition systems is that the
appearance features of gaits are more affected-prone by views than identities, especially …

Human gait recognition has a wide range of applications in multiple fields, such as video
surveillance, digital security, and forensics. In this paper, we investigate the challenging …

We investigate in this paper the problem of estimating human ages from gait signatures. To
our knowledge, this problem has not been formally addressed in the literature. Estimating …

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 …

Gait as a biometric feature is widely used for human identification, and gait recognition has
recently become a significant research problem. According to a small amount of labeled …