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 …

The present brief review is a survey of the role of forensic anthropology (FA) in the new
millennium. After an introduction which deals with the expanding definition of the discipline …

In this paper, we propose a new spatio-temporal gait representation, called Gait Energy
Image (GEI), to characterize human walking properties for individual recognition by gait. To …

Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one
of the most active research topics in computer vision. It has a wide spectrum of promising …

We present FootprintID, an indoor pedestrian identification system that utilizes footstep-
induced structural vibration to infer pedestrian identities for enabling various smart building …

This study is a survey and classification of the state-of-the-art in behavioural biometrics
which is based on skills, style, preference, knowledge, motor-skills or strategy used by …

Human gait is a promising biometrics resource. In this paper, the information about gait is
obtained from the motions of the different parts of the silhouette. The human silhouette is …

Gait recognition is used to identify individuals in image sequences by the way they walk.
Nearly all of the approaches proposed for gait recognition are 2D methods based on …

Psychological studies indicate that people have a small but statistically significant ability to
recognize the gaits of individuals that they know. Recently, there has been much interest in …

This paper presents a novel approach for human recognition by combining statistical gait
features from real and synthetic templates. Real templates are directly computed from …