Gait recognition across various walking speeds using higher order shape configuration based on a differential composition model
Gait has been known as an effective biometric feature to identify a person at a distance. However, variation of walking speeds may lead to significant changes to human walking patterns. It causes many difficulties for gait recognition. A comprehensive analysis has been carried out in this paper to identify such effects. Based on the analysis, Procrustes shape analysis is adopted for gait signature description and relevant similarity measurement. To tackle the challenges raised by speed change,...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics|
|01_Kusakunniran_Gait_recognition_across_2012.pdf||1.14 MB||Adobe PDF||Request a copy|
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