In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …

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 …

The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

The culture movement challenged the universality of the self-enhancement motive by
proposing that the motive is pervasive in individualistic cultures (the West) but absent in …

Existing gait recognition approaches typically focus on learning identity features that are
invariant to covariates (eg, the carrying status, clothing, walking speed, and viewing angle) …

Privacy is one of the most important social and political issues in our information society,
characterized by a growing range of enabling and supporting technologies and services …

Gait analyses have recently gained attention as methods of identification of individuals at a
distance from a camera. However, appearance changes due to view direction changes …

Gait recognition plays a special role in visual surveillance due to its unique advantage, eg,
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …

Human Identification Based on Gait is the first book to address gait as a biometric.
Biometrics is now in a unique position where it affects most people's lives. This is especially …