DocumentCode
2797490
Title
Gait recognition for randomwalking patterns and variable body postures
Author
Huang, Xiaxi ; Boulgouris, Nikolaos V.
Author_Institution
Dept. of Electron. Eng., King´´s Coll. London, London, UK
fYear
2010
fDate
14-19 March 2010
Firstpage
1726
Lastpage
1729
Abstract
In this paper, we present a gait recognition method that does not presume the existence of strict lab conditions for its operation. The proposed algorithm includes a side-view detection and extraction approach that is useful when the subject is walking randomly as well as a novel template for gait representation that is robust to body posture variations. Experimental results show that the proposed system not only has high computational efficiency, but also exhibits robust performance, especially in cases where the subject is walking along random paths.
Keywords
feature extraction; gait analysis; gesture recognition; gait recognition; random paths; random walking patterns; side-view detection; side-view extraction; variable body postures; Cameras; Feature extraction; Hidden Markov models; Humans; Image databases; Image segmentation; Legged locomotion; Partitioning algorithms; Pattern recognition; Robustness; gait; recognition; surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495467
Filename
5495467
Link To Document