| Presentation | 2017-02-23 Study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorisms Maho Nakamura, Kazuhiro Watanabe, Manabu Akita, Masato Watanabe, Takayuki Inaba, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We report about a study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorithms. The features are calculated from the features of shapes on Range-Doppler velocity (RV) maps and the power distributions of RV maps and so on. This study will provide applications for the short time radar recognition even in the bad weather or dark place comparing with recognition using cameras or movies. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | illimeter-wave radar / car recognition / pedestrian recognition / Machine learning |
| Paper # | SANE2016-119 |
| Date of Issue | 2017-02-16 (SANE) |
| Conference Information | |
| Committee | SANE / SAT |
|---|---|
| Conference Date | 2017/2/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Katsuura Hotel Mikazuki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Satellite Application and General |
| Chair | Hirokazu Kobayashi(Osaka Inst. of Tech.) / Takatoshi Sugiyama(Kogakuin Univ.) |
| Vice Chair | Takahide Mizuno(JAXA) / Toshifumi Moriyama(Nagasaki Univ.) / Toshinori Susuki(Tohoku Gakuin Univ.) / Hiroyuki Tsuji(NICT) |
| Secretary | Takahide Mizuno(JAXA) / Toshifumi Moriyama(Mitsubishi Electric) / Toshinori Susuki(NTT) / Hiroyuki Tsuji(KDDI R&D Labs.) |
| Assistant | Atsushi Kezuka(ENRI) / Manabu Akita(Univ. of Electro-Comm.) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics / Technical Committee on Satellite Telecommunications |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorisms |
| Sub Title (in English) | |
| Keyword(1) | illimeter-wave radar |
| Keyword(2) | car recognition |
| Keyword(3) | pedestrian recognition |
| Keyword(4) | Machine learning |
| 1st Author's Name | Maho Nakamura |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Kazuhiro Watanabe |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Manabu Akita |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| 4th Author's Name | Masato Watanabe |
| 4th Author's Affiliation | The University of Electro-Communications(UEC) |
| 5th Author's Name | Takayuki Inaba |
| 5th Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2017-02-23 |
| Paper # | SANE2016-119 |
| Volume (vol) | vol.116 |
| Number (no) | SANE-469 |
| Page | pp.pp.7-12(SANE), |
| #Pages | 6 |
| Date of Issue | 2017-02-16 (SANE) |