loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
What Image Information Is Important in Silhouette-Based Gait Recognition?
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
G.V. Veres, University of Southampton
L. Gordon, University of Southampton
J.N. Carter, University of Southampton
M.S. Nixon, University of Southampton
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 the 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.
Citation:
G.V. Veres, L. Gordon, J.N. Carter, M.S. Nixon, "What Image Information Is Important in Silhouette-Based Gait Recognition?," cvpr, vol. 2, pp.776-782, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
Usage of this product signifies your acceptance of the Terms of Use.