Presentation | 2010-03-15 Person identification using mine moment invariants Yumi IWASHITA, Ryo KURAZUME, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Gait is one of biometrics which offer the possibility to identify people at a distance, without any inter action or cooperation from the subject, compared with other kind of biometrics, such as fingerprints and iris. To identify people by gait, gait features based on a model of the human body or one's appearance are extracted from captured image sequences of walking people. Various methods have been proposed so far, and a Fourier transform-based method enabled to identify people with high correct classification rate. However, the dimension number of features rises in parallel with the increasing of the image resolution. In this paper, we introduce a resolution independent method using affine moment invariants, which enables to identify people with high correct classification using small dimension number of features. We applied the proposed method to a gait database SOTON, and used the leaveone-out cross validation technique to estimate the correct classification rate of 98 % with twentieth part of dimension number of features of the conventional method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gait / person identification / affine moment invariants |
Paper # | PRMU2009-246,HIP2009-131 |
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Conference Information | |
Committee | HIP |
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Conference Date | 2010/3/8(1days) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Person identification using mine moment invariants |
Sub Title (in English) | |
Keyword(1) | Gait |
Keyword(2) | person identification |
Keyword(3) | affine moment invariants |
1st Author's Name | Yumi IWASHITA |
1st Author's Affiliation | Faculty of Information Science and Electrical Engineering, Kyushu University() |
2nd Author's Name | Ryo KURAZUME |
2nd Author's Affiliation | Faculty of Information Science and Electrical Engineering, Kyushu University |
Date | 2010-03-15 |
Paper # | PRMU2009-246,HIP2009-131 |
Volume (vol) | vol.109 |
Number (no) | 471 |
Page | pp.pp.- |
#Pages | 6 |
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