Thumbnail
Access Restriction
Open

Author Tang, Jin ♦ Luo, Jian ♦ Tjahjadi, Tardi ♦ Gao, Yan
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Natural history of organisms ♦ Technology ♦ Medicine & health ♦ Diseases ♦ Manufacture for specific uses ♦ Precision instruments & other devices
Subject Domain (in MeSH) Eukaryota ♦ Organisms ♦ Diagnosis ♦ Investigative Techniques ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment ♦ Information Science ♦ Information Science
Subject Keyword Discipline Biotechnology ♦ Computer Communication Networks ♦ Gait ♦ Physiology ♦ Image Processing, Computer-assisted ♦ Humans ♦ Models, Theoretical ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject. To achieve view-invariant gait recognition, a multi-view synthesizing method based on point cloud registration (MVSM) to generate multi-view training galleries is proposed. The concept of a density and curvature-based Color Gait Curvature Image is introduced to map 2.5D data onto a 2D space to enable data dimension reduction by discrete cosine transform and 2D principle component analysis. Gait recognition is achieved via a 2.5D view-invariant gait recognition method based on point cloud registration. Experimental results on the in-house database captured by a Microsoft Kinect camera show a significant performance gain when using MVSM.
Description Country affiliation: China
Author Affiliation: Tang J ( School of Information Science and Engineering, Central South University, Changsha 410083, China. tjin@csu.edu.cn.); Luo J ( School of Information Science and Engineering, Central South University, Changsha 410083, China. delphifx@csu.edu.cn.); Tjahjadi T ( School of Engineering, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK. t.tjahjadi@warwick.ac.uk.); Gao Y ( School of Information Science and Engineering, Central South University, Changsha 410083, China. gaoyan@csu.edu.cn.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-03-28
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 14
Issue Number 4


Source: WHO-Global Index Medicus