| Presentation | 2018-03-18 Pedestrian Detection with Multi-level Deep Features Misaki Kodaira, Yu Wang, Jien Kato, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this research, we aim to clarify effective application of CNN features in pedestrian detection. In the experiment, feature extraction, encoding, and classification of CNN features are performed with different settings for "input image size", "layers for feature extraction", "normalization"and "combination of plural feature vectors". In the proposed method, we apply the settings that demonstrated good performance in the experiments. Usefulness of our method was confirmed by comparing the performance with the baseline method and the state-of-the-art method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pedestrian detection / cnn feature |
| Paper # | BioX2017-52,PRMU2017-188 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
|---|---|
| Conference Date | 2018/3/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
| Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC) |
| Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Hiroshi Takano(Shizuoka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) |
| Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pedestrian Detection with Multi-level Deep Features |
| Sub Title (in English) | |
| Keyword(1) | pedestrian detection |
| Keyword(2) | cnn feature |
| 1st Author's Name | Misaki Kodaira |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 2nd Author's Name | Yu Wang |
| 2nd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 3rd Author's Name | Jien Kato |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2018-03-18 |
| Paper # | BioX2017-52,PRMU2017-188 |
| Volume (vol) | vol.117 |
| Number (no) | BioX-513,PRMU-514 |
| Page | pp.pp.97-102(BioX), pp.97-102(PRMU), |
| #Pages | 6 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |