Support Vector Regression for Multi-View Gait Recognition based on Local Motion Feature Selection
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Altmetric Citations
Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong
Description
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]
Collections | ANU Research Publications |
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Date published: | 2010 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/60572 |
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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01_Kusakunniran_Support_Vector_Regression_for_2010.pdf | 474.44 kB | Adobe PDF | Request a copy |
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