A Novel Gait Recognition Method Based on Standard Deviation Energy Image

Author

Gu, Lei ; Sun, Fuchun

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing

fYear

2008

fDate

22-24 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

Gait recognition, a new biometrics recognition technology, can discriminate individuals by the way they walk. A novel gait recognition method based on standard deviation energy image is proposed in this paper. Firstly, it divides video sequences into several gait cycles. Secondly, two kinds of energy images called nonzero and zero standard deviation energy image respectively are constructed. Finally, features vectors of two energy images are extracted and fused in subspace by means of principal components analysis. Experimental results show that our approach is valid and has encouraging recognition performance.

Keywords

biometrics (access control); feature extraction; image fusion; image recognition; image sequences; principal component analysis; video signal processing; biometrics recognition; feature vector extraction; gait recognition; image fusion; nonzero standard deviation energy image; principal components analysis; video sequence; zero standard deviation energy image; Biometrics; Computer science; Image recognition; Information science; Intelligent systems; Laboratories; Principal component analysis; Sun; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. CCPR '08. Chinese Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2316-3

Type

conf

DOI

10.1109/CCPR.2008.64

Filename

4663017