Presentation | 2014-01-24 Efficient modeling with selecting learning samples in human pose estimaiton Yoichi MATSUYAMA, Norimichi UKITA, Norihiro HAGITA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The more learning samples the better the modeling general. However the computational cost in modeling rises rapidlly the samples increase in number. The computational cost can be expensive if modeling is required only once. But in the stage of exporing good models and their parameters, modeling is repeated many times. So the computational cost in modeling should be smaller. In this paper, we propose efficient modeling while maintaining the accuracy of the model by appropiately selecting the learning samples. Experimental results show the efficiency of the proposed modeling in human pose estimaiton. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Efficient model learning / Selecting learning samples / Humanpose estimation / Deformable part model Latent SVM |
Paper # | PRMU2013-115,MVE2013-56 |
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Conference Information | |
Committee | MVE |
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Conference Date | 2014/1/16(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 | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Efficient modeling with selecting learning samples in human pose estimaiton |
Sub Title (in English) | |
Keyword(1) | Efficient model learning |
Keyword(2) | Selecting learning samples |
Keyword(3) | Humanpose estimation |
Keyword(4) | Deformable part model Latent SVM |
1st Author's Name | Yoichi MATSUYAMA |
1st Author's Affiliation | Nara Institute of Sciense and Technology() |
2nd Author's Name | Norimichi UKITA |
2nd Author's Affiliation | Nara Institute of Sciense and Technology |
3rd Author's Name | Norihiro HAGITA |
3rd Author's Affiliation | Nara Institute of Sciense and Technology |
Date | 2014-01-24 |
Paper # | PRMU2013-115,MVE2013-56 |
Volume (vol) | vol.113 |
Number (no) | 403 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |