Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

The essential human gait parameters are briefly reviewed, followed by a detailed review of
the state of the art in deep learning for the human gait analysis. The modalities for capturing …

Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …

As a unique biometric feature that can be recognized at a distance, gait has broad
applications in crime prevention, forensic identification and social security. To portray a gait …

Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad
applications in crime prevention, forensic identification, and social security. To portray a gait …

The goal of gait recognition is to learn the unique spatio-temporal pattern about the human
body shape from its temporal changing characteristics. As different body parts behave …

Gait recognition aims at identifying different people by the walking patterns, which can be
conducted at a long distance without the cooperation of subjects. A key challenge for gait …

Compared to other biometrics, gait is difficult to conceal and has the advantage of being
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …

Most existing gait recognition approaches adopt a two-step procedure: a preprocessing step
to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end …

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 …