| Presentation | 2012-02-09 Gait identification robust to changes in walking direction by 4D gait database Ryosuke BABA, Yumi IWASHITA, Koichi OGAWARA, Ryo KURAZUME, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In person identification using gait images, various inherent image features of individuals are extracted from a sequence of gait images. However, for instance, if a subject's observation angle changes compared with those in the database, the correct classification rate gets low. To deal with this problem, we constructed a 4D gait database consisting of multiple 3D shape models of walking subjects, and introduce a method robustly against walking direction changes. In this method, firstly we reconstruct 3D models of subjects from gait images taken by multiple cameras, and then synthesize virtual images of 3D models from multiple arbitrary virtual viewpoints and build a database from gait features extracted from virtual images. In the identification phase, the person is identified by matching the gait features of the subject and those from all virtual viewpoints in the database. However, the calculation cost is expensive due to full search, and the subject is wrongly estimated due to wrong estimation of walking direction. So in this paper, to achieve the reduction of calculation time and high correct classification rate, we introduce a method which estimates the walking direction using Frieze Patterns firstly and then identify the person using features from the estimated virtual viewpoint. Experiments using the 4D gait database show the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Person identification / gait / 3D shape reconstruction / affine moment invariants |
| Paper # | PRMU2011-196,SP2011-111 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2012/2/2(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gait identification robust to changes in walking direction by 4D gait database |
| Sub Title (in English) | |
| Keyword(1) | Person identification |
| Keyword(2) | gait |
| Keyword(3) | 3D shape reconstruction |
| Keyword(4) | affine moment invariants |
| 1st Author's Name | Ryosuke BABA |
| 1st Author's Affiliation | Information Science and Electrical Engineering, Kyushu University() |
| 2nd Author's Name | Yumi IWASHITA |
| 2nd Author's Affiliation | Information Science and Electrical Engineering, Kyushu University |
| 3rd Author's Name | Koichi OGAWARA |
| 3rd Author's Affiliation | Faculty of Systems Engineering, Wakayama University |
| 4th Author's Name | Ryo KURAZUME |
| 4th Author's Affiliation | Information Science and Electrical Engineering, Kyushu University |
| Date | 2012-02-09 |
| Paper # | PRMU2011-196,SP2011-111 |
| Volume (vol) | vol.111 |
| Number (no) | 431 |
| Page | pp.pp.- |
| #Pages | 6 |
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