Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

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 …

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 …

This paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large
Population Dataset”-and its application to a statistically reliable performance evaluation of …

This paper describes a large-scale gait database comprising the Treadmill Dataset. The
dataset focuses on variations in walking conditions and includes 200 subjects with 25 views …

With the growing popularity of biometrics technology in the pattern recognition field,
especially identification of human has gained the attention of researchers from both …

Background Wearable sensors have been used successfully to characterize bradykinetic
gait in patients with Parkinson disease (PD), but most studies to date have been conducted …

Many studies have shown that it is possible to recognize people by the way they walk.
However, there are a number of covariate factors that affect recognition performance. The …

In this paper, we describe the world's largest gait database with real-life carried objects
(COs), which has been made publicly available for research purposes, and its application to …

A common viewpoint-free framework that fuses pose recovery and classification for action
and gait recognition is presented in this paper. First, a markerless pose recovery method is …