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Accession number;07A0176781
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| Title;Gait Identification Using a View Transformation Model in the Frequency Domain |
| Author;
MAKIHARA YASUSHI
(Osaka Univ., Inst. Sci. and Ind. Res., JPN)
SAGAWA RYUSUKE
(Osaka Univ., Inst. Sci. and Ind. Res., JPN)
MUKAIGAWA YASUHIRO
(Osaka Univ., Inst. Sci. and Ind. Res., JPN)
ECHIGO TOMIO
(Osaka Electro-Communication Univ.)
YAGI YASUSHI
(Osaka Univ., Inst. Sci. and Ind. Res., JPN)
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Journal Title;IPSJ Transactions on Database
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Journal Code:Z0778A
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ISSN:0387-5806
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VOL.48;NO.SIG1(CVIM17);PAGE.78-87(2007)
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| Figure&Table&Reference;FIG.9, REF.24 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;Gait identification have recently gained attention as methods of individual identification at a distance from a camera. However, appearance changes due to view direction changes cause difficulties for gait identification. We propose a method of gait identification using frequency-domain features and a view transformation model. We first extract frequency-domain features from a spatio-temporal gait silhouette volume. Next, our view transformation model is obtained with a training set of multiple persons from multiple view directions. In an identification phase, the model transforms gallery features into the same view direction as that of a probe feature. Experiments involving gait identification from 24 view directions demonstrate the effectiveness of our method. (author abst.) |
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