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Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron

Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong


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]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Pattern Recognition Letters
DOI: 10.1016/j.patrec.2011.04.014


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