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 …

Gait recognition is of great importance in the fields of surveillance and forensics to identify
human beings since gait is the unique biometric feature that can be perceived efficiently at a …

In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …

Human gait, a soft biometric helps to recognize people by the manner, they walk. This paper
presents gait image features based on the information set theory, henceforth these are …

Identifying people's identity by using behavioral biometrics has attracted many researchers'
attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is …

Gait recognition is one of the most important techniques in application areas such as video-
based surveillance, human tracking and medical systems. In this study, a novel Gabor …

To ensure the high performance of a biometric system, various unimodal systems are
combined to evade their constraints to form a multimodal biometric system. Here, a …

This paper describes and evaluates an i-vector based approach for Gait-based Person
Identification (GPI) using inertial signals from a smartphone. This approach includes two …

We focus on the problem of pose-based gait recognition. Our contribution is two-fold. First,
we incorporate a local histogram descriptor that allows us to encode the trajectories of …