DocumentCode :
2317561
Title :
Gait recognition based on leg motion and contour of silhouette
Author :
Benbakreti, Soumia ; Benyettou, Mohamed
Author_Institution :
Comput. Sci. Dept., Univ. of Sci. & the Technol., Oran, Algeria
fYear :
2012
fDate :
24-26 March 2012
Firstpage :
1
Lastpage :
5
Abstract :
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper presents an automatic gait recognition system that recognizes a person by the way they walk. The gait signature is obtained based on the angle and the contour of the silhouette. For each image sequence, background subtraction is used to extract moving silhouettes of the walker. The silhouette is divided using three parameters: the perimeter of the contour of the silhouette, the area of the silhouette and the angle between right leg and left leg. Principal component analysis (PCA) was then applied to this dataset in order to reduce the dimensionality. The perimeter of contour and the area of each silhouette was added to the dataset. This paper applies dynamic time warping to distinguish between the different gaits of human subjects. The performance of the proposed method is tested using CASIA database B. Recognition results show this approach is efficient.
Keywords :
computer vision; feature extraction; gait analysis; image motion analysis; image sequences; object recognition; principal component analysis; CASIA database; PCA; automatic gait recognition; background subtraction; computer vision; dimensionality reduction; dynamic time warping; gait signature; human identification; image sequence; leg motion; moving silhouette extraction; principal component analysis; silhouette contour; Computational modeling; Databases; Feature extraction; Humans; Legged locomotion; Principal component analysis; Time series analysis; DTW; FAR; FRR; PCA; biometric; gait; signature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and e-Services (ICITeS), 2012 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1167-0
Type :
conf
DOI :
10.1109/ICITeS.2012.6216626
Filename :
6216626
Link To Document :
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