| Presentation | 2016-01-22 Fine-Grained Classification of Pedestrian using Statistical Information Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The purpose of this study is fine-grained classification of sex(2 classes), age(5 classes), weight(3 classes), clothing(4 classes) subcategories. The approach , we represent the relation between the subcategories in the graphical model, assuming that there is a correlation for each subcategories. Furthermore, we incorporated the super resolution and division of the bounding box as a pre-processing. The experiment results indicate that the proposed approach has a better classification accuracy comparing to the state-of-the-art. As a result, we confirmed effectiveness of the proposed approach. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | fine-grained classification / deep learning / super resolution / graphical model |
| Paper # | PRMU2015-124,MVE2015-46 |
| Date of Issue | 2016-01-14 (PRMU, MVE) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM / MVE |
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| Conference Date | 2016/1/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eisaku Maeda(NTT) / / Minoru Kobayashi(Meiji Univ.) |
| Vice Chair | Shuji Senda(NEC) / Seiichi Uchida(Kyushu Univ.) / / Yoshinari Kameda(Univ. of Tsukuba) |
| Secretary | Shuji Senda(Mie Univ.) / Seiichi Uchida(DENSO IT Lab.) / / Yoshinari Kameda(Keio Univ.) |
| Assistant | Kazuaki Kondo(Kyoto Univ.) / Akisato Kimura(NTT) / / Reiko Ueoka(Kyushu Univ.) / Masaaki Iiyama(Kyoto Univ.) / Atsunobu Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media / Technical Committee on Multimedia and Virtual Environment |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fine-Grained Classification of Pedestrian using Statistical Information |
| Sub Title (in English) | |
| Keyword(1) | fine-grained classification |
| Keyword(2) | deep learning |
| Keyword(3) | super resolution |
| Keyword(4) | graphical model |
| 1st Author's Name | Yoshihito Kokubo |
| 1st Author's Affiliation | Nagoya University(NU) |
| 2nd Author's Name | Yu Wang |
| 2nd Author's Affiliation | Nagoya University(NU) |
| 3rd Author's Name | Jien Kato |
| 3rd Author's Affiliation | Nagoya University(NU) |
| 4th Author's Name | Kenji Mase |
| 4th Author's Affiliation | Nagoya University(NU) |
| Date | 2016-01-22 |
| Paper # | PRMU2015-124,MVE2015-46 |
| Volume (vol) | vol.115 |
| Number (no) | PRMU-414,MVE-415 |
| Page | pp.pp.169-173(PRMU), pp.169-173(MVE), |
| #Pages | 5 |
| Date of Issue | 2016-01-14 (PRMU, MVE) |