Development of Vision Based Multiview Gait Recognition System with MMUGait Database

Joint Authors

Ng, Hu
Tan, Wooi-Haw
Abdullah, Junaidi
Tong, Hau-Lee

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-27

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

This paper describes the acquisition setup and development of a new gait database, MMUGait.

This database consists of 82 subjects walking under normal condition and 19 subjects walking with 11 covariate factors, which were captured under two views.

This paper also proposes a multiview model-based gait recognition system with joint detection approach that performs well under different walking trajectories and covariate factors, which include self-occluded or external occluded silhouettes.

In the proposed system, the process begins by enhancing the human silhouette to remove the artifacts.

Next, the width and height of the body are obtained.

Subsequently, the joint angular trajectories are determined once the body joints are automatically detected.

Lastly, crotch height and step-size of the walking subject are determined.

The extracted features are smoothened by Gaussian filter to eliminate the effect of outliers.

The extracted features are normalized with linear scaling, which is followed by feature selection prior to the classification process.

The classification experiments carried out on MMUGait database were benchmarked against the SOTON Small DB from University of Southampton.

Results showed correct classification rate above 90% for all the databases.

The proposed approach is found to outperform other approaches on SOTON Small DB in most cases.

American Psychological Association (APA)

Ng, Hu& Tan, Wooi-Haw& Abdullah, Junaidi& Tong, Hau-Lee. 2014. Development of Vision Based Multiview Gait Recognition System with MMUGait Database. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049384

Modern Language Association (MLA)

Ng, Hu…[et al.]. Development of Vision Based Multiview Gait Recognition System with MMUGait Database. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1049384

American Medical Association (AMA)

Ng, Hu& Tan, Wooi-Haw& Abdullah, Junaidi& Tong, Hau-Lee. Development of Vision Based Multiview Gait Recognition System with MMUGait Database. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049384

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1049384