Presentation | 2012/1/12 Periodic Image Sequence Reconstruction from Low Frame-rate Videos for Gait Recognition NAOKI AKAE, AL MANSUR, YASUSHI MAKIHARA, YASUSHI YAGI, |
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Abstract(in English) | This paper describes a method of periodic temporal super resolution and its application to low frame-rate gait recognition. The existing reconstruction-based methods of periodic temporal super resolution often suffer from two problems: wagon-wheel effect and stroboscopic effect. To overcome these two problems, we introduce a standard gait manifold derived from a training set as an example-based cue and formulate the periodic temporal super resolution as an energy minimization framework considering both reconstruction-based and example-based cues. Experiments with side-view gait videos of 100 subjects demonstrate the effectiveness of the proposed method in terms of not only the temporal super resolution quality but also gait-recognition performances. |
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Paper # | Vol.2012-CVIM-180 No.49 |
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Committee | CQ |
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Conference Date | 2012/1/12(1days) |
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Registration To | Communication Quality (CQ) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Periodic Image Sequence Reconstruction from Low Frame-rate Videos for Gait Recognition |
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1st Author's Name | NAOKI AKAE |
1st Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University() |
2nd Author's Name | AL MANSUR |
2nd Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
3rd Author's Name | YASUSHI MAKIHARA |
3rd Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
4th Author's Name | YASUSHI YAGI |
4th Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
Date | 2012/1/12 |
Paper # | Vol.2012-CVIM-180 No.49 |
Volume (vol) | vol.111 |
Number (no) | 378 |
Page | pp.pp.- |
#Pages | 8 |
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