| Presentation | 2012-02-09 Gait identification robust to changes in observation angle Yumi IWASHITA, Ryosuke BABA, 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 taken by a camera. However, for instance, if the subject is close to the camera and the camera captures gait images from the side direction, observation angles between walking direction of the subject and directions of the camera to the subject at all frames are varied during one gait cycle. This unfavorable change induces the decrease of the identification performance. So in this paper, we propose a novel gait identification technique which is robust to changes in observation angle in one gait cycle. The proposed technique utilizes a 4D gait database consisting of multiple 3D shape models of walking subjects and adaptive virtual image synthesis. Experiments using the 4D gait database of 21 subjects show that the proposed method is robust to the changes of the observation angles in one walking cycle and achieves higher recognition performance than the case using a fixed observation angle in one gait cycle. Besides, experimental results show the feasibility of identifying people walking on curved trajectories. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Person identification / gait / curved trajectories / 4D gait database / affine moment invariants |
| Paper # | PRMU2011-197,SP2011-112 |
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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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| 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 observation angle |
| Sub Title (in English) | |
| Keyword(1) | Person identification |
| Keyword(2) | gait |
| Keyword(3) | curved trajectories |
| Keyword(4) | 4D gait database |
| Keyword(5) | affine moment invariants |
| 1st Author's Name | Yumi IWASHITA |
| 1st Author's Affiliation | Information Science and Electrical Engineering, Kyushu University:Jet Propulsion Laboratory() |
| 2nd Author's Name | Ryosuke BABA |
| 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 # | PRMU2011-197,SP2011-112 |
| Volume (vol) | vol.111 |
| Number (no) | 431 |
| Page | pp.pp.- |
| #Pages | 6 |
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