Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron
Gait has been shown to be an efficient biometric feature for human identification at a distance. However, performance of gait recognition can be affected by view variation. This leads to a consequent difficulty of cross-view gait recognition. A novel method is proposed to solve the above difficulty by using view transformation model (VTM). VTM is constructed based on regression processes by adopting multi-layer perceptron (MLP) as a regression tool. VTM estimates gait feature from one view...[Show more]
|Collections||ANU Research Publications|
|Source:||Pattern Recognition Letters|
|01_Kusakunniran_Cross-view_and_multi-view_gait_2012.pdf||763.25 kB||Adobe PDF||Request a copy|
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