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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kusakunniran, W. Qiang Wu Hongdong Li Jian Zhang |
| Copyright Year | 2009 |
| Description | Author affiliation: University of New South Wales, Australia (Kusakunniran, W.; Jian Zhang) || Australian National University, Australia (Hongdong Li) || University of Technology Sydney, Australia (Qiang Wu) |
| Abstract | Gait is one of well recognized biometrics that has been widely used for human identification. However, the current gait recognition might have difficulties due to viewing angle being changed. This is because the viewing angle under which the gait signature database was generated may not be the same as the viewing angle when the probe data are obtained. This paper proposes a new multi-view gait recognition approach which tackles the problems mentioned above. Being different from other approaches of same category, this new method creates a so called View Transformation Model (VTM) based on spatial-domain Gait Energy Image (GEI) by adopting Singular Value Decomposition (SVD) technique. To further improve the performance of the proposed VTM, Linear Discriminant Analysis (LDA) is used to optimize the obtained GEI feature vectors. When implementing SVD there are a few practical problems such as large matrix size and over-fitting. In this paper, reduced SVD is introduced to alleviate the effects caused by these problems. Using the generated VTM, the viewing angles of gallery gait data and probe gait data can be transformed into the same direction. Thus, gait signatures can be measured without difficulties. The extensive experiments show that the proposed algorithm can significantly improve the multiple view gait recognition performance when being compared to the similar methods in literature. |
| Starting Page | 1058 |
| Ending Page | 1064 |
| File Size | 471379 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424444427 |
| DOI | 10.1109/ICCVW.2009.5457587 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-27 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Image recognition Head Humans Cameras Linear discriminant analysis Trajectory Australia Probes Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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