Multi-view Gait Recognition Based on Motion Regression using Multilayer Perceptron
It has been shown that gait is an efficient biometric feature for identifying a person at a distance. However, it is a challenging problem to obtain reliable gait feature when viewing angle changes because the body appearance can be different under the various viewing angles. In this paper, the problem above is formulated as a regression problem where a novel View Transformation Model (VTM) is constructed by adopting Multilayer Perceptron (MLP) as regression tool. It smoothly estimates gait...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the International Conference on Pattern Recognition (ICPR 2010)|
|01_Kusakunniran_Multi-view_Gait_Recognition_2010.pdf||492.25 kB||Adobe PDF||Request a copy|
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