Title :
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
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;
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
DOI :
10.1109/CCPR.2008.64
