Skip navigation
Skip navigation

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

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]

CollectionsANU Research Publications
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

Download

File Description SizeFormat Image
01_Kusakunniran_Support_Vector_Regression_for_2010.pdf474.44 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator