What image information is important in silhouette-based gait recognition?

Author

Veres, G.V. ; Gordon, L. ; Carter, J.N. ; Nixon, M.S.

Author_Institution

Sch. of Electron. & Comput. Sci., Southampton Univ., UK

Volume

2

fYear

2004

fDate

27 June-2 July 2004

Abstract

Gait recognition has recently gained significant attention, especially in vision-based automated human identification at a distance in visual surveillance and monitoring applications. Silhouette-based gait recognition is one of the most popular methods for recognising moving shapes. This paper aims to investigate the important features in silhouette-based gait recognition from point of view of statistical analysis. It is shown that the average silhouette includes a static component of gait (head and body) as the most important image part, while dynamic component of gait (swings of legs and arms) is ignored as the least important information. At the same time ignoring dynamic part of gait can result in loss in recognition rate in some cases, and the importance of better motion estimation is underlined.

Keywords

image recognition; monitoring; motion estimation; statistical analysis; surveillance; image information; motion estimation; silhouette-based gait recognition; statistical analysis; vision-based automated human identification; visual surveillance; Arm; Computerized monitoring; Head; Humans; Image recognition; Leg; Motion estimation; Shape; Statistical analysis; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on

ISSN

1063-6919

Print_ISBN

0-7695-2158-4

Type

conf

DOI

10.1109/CVPR.2004.1315243

Filename

1315243