Gait exhibits several advantages with respect to other biometrics features: acquisition can be performed through cheap technology, at a distance and without people collaboration. In this paper we perform gait analysis using skeletal data provided by the Microsoft Kinect sensor. We defined a rich set of physical and behavioral features aiming at identifying the more relevant parameters for gait ...

Human gait is an attractive modality for recognizing people at a distance. In this paper we adopt an appearance-basedapproach to the problem of gait recognition. The width of the outer contour of the binarized silhouette of a walking person is chosen as the basic image feature. Different gait features are extracted from the width vector such as the dowsampled, smoothed width vectors, the veloci...

Human gait, a new biometric aimed at recognizing people based on how they walk, has become increasingly important in visual surveillance application. However, one camera single view point gait data commonly been explored, this not always sufficient enough the environment of deployment. This research proposes analysis as solution for subjects’ identification across network cameras from different...

Gait is a basic requirement for daily activity and is known as one of the most universal and complex of all human activities (Sadeghi et al, 2000). The aim of gait is to support the body against gravity while generating movements to propel the body forward. For producing the smooth rhythmical motion of the able-bodied gait, it requires precise coordination between the tasks of propulsion and ba...

A method is presented for identifying individuals by shape, given a sequence of noisy silhouettes segmented from video. A spectral partitioning framework is used to cluster similar poses and automatically extract gait shapes. The method uses a variance-weighted similarity metric to induce clusters that cover disparate stages in the gait cycle. This technique is applied to the HumanID Gait Chall...

The first step in the assessment of patients with gait abnormalities in physical and rehabilitation medicine settings is a clinical examination based on the International Classification of Functioning, Disabilities and Health. Body structure, activities and participation, and environmental factors (physical and human factors) must all be assessed. Qualitative and quantified assessments of gait ...

In this paper, inspired by the mechanism of memory and prediction in our brains [2], we propose a straightforward and effective memorybased gait recognition method (MGR) to realize the memory and recognition process of the gait sequences. Because of various covariates including carrying, clothing, surface and view angle, we extract the robust 2D joint location information via the joint extracti...