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
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;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495467
