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Support Vector Regression for Multi-View Gait Recognition based on Local Motion Feature Selection

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


Gait is a well recognized biometric feature that is used to identify a human at a distance. However, in real environment, appearance changes of individuals due to viewing angle changes cause many difficulties for gait recognition. This paper re-formulates this problem as a regression problem. A novel solution is proposed to create a View Transformation Model (VTM) from the different point of view using Support Vector Regression (SVR). To facilitate the process of regression, a new method is...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)
DOI: 10.1109/CVPR.2010.5540113


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