| Presentation | 2008-12-18 Study of Gait Identification Based on a Tensor Decomposition Approach Takayuki HORI, Jun OHYA, Jun KURUMISAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a Tensor Decomposition Based method for personal identification from silhouette image on time sequential data. Personal Identification tests from gait motion data and the experiments compare with other method. Experiments show the effectiveness of the identification method, |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Gait Identification / Silhouette Image / Tensor Decomposition / N-mode SVD / Motion Signature / Biometric |
| Paper # | PRMU2008-162 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2008/12/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of Gait Identification Based on a Tensor Decomposition Approach |
| Sub Title (in English) | |
| Keyword(1) | Gait Identification |
| Keyword(2) | Silhouette Image |
| Keyword(3) | Tensor Decomposition |
| Keyword(4) | N-mode SVD |
| Keyword(5) | Motion Signature |
| Keyword(6) | Biometric |
| 1st Author's Name | Takayuki HORI |
| 1st Author's Affiliation | Graduate School of Global Information and Telecommunication Studies, Waseda University() |
| 2nd Author's Name | Jun OHYA |
| 2nd Author's Affiliation | Graduate School of Global Information and Telecommunication Studies, Waseda University |
| 3rd Author's Name | Jun KURUMISAWA |
| 3rd Author's Affiliation | Dept. of Policy Informatics, Chiba University of Commerce |
| Date | 2008-12-18 |
| Paper # | PRMU2008-162 |
| Volume (vol) | vol.108 |
| Number (no) | 363 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |