| Presentation | 2020-11-26 [Poster Presentation] Deep Learning-Based Pedestrian Distance Estimation using Single-Shot Image Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Jiro Katto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a deep learning based method for estimating the distance to pedestrians using monocular images. We use bounding box features for distance estimation, which are outputs of the person detection algorithm. We attempt to improve the accuracy by combining bounding box sizes, degree of image blur and semantic image features. In addition, as an application of the pedestrian distance estimation, a method of walking speed estimation is also proposed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Distance estimation / Deep learning / Walking speed estimation |
| Paper # | SeMI2020-26 |
| Date of Issue | 2020-11-19 (SeMI) |
| Conference Information | |
| Committee | SRW / SeMI / CNR |
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| Conference Date | 2020/11/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop |
| Chair | Satoshi Denno(Okayama Univ.) / Susumu Ishihara(Shizuoka Univ.) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Keiichi Mizutani(NTT) / Kentaro Saito(NIigata Univ.) / Hanako Noda(Kyoto Univ.) / Kazuya Monden(Osaka Univ.) / Koji Yamamoto(Hitachi) / Masayuki Kanbara(Waseda Univ.) / Yoshihiko Murakawa(Shibaura Inst. of Tech.) |
| Assistant | Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.) / Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Deep Learning-Based Pedestrian Distance Estimation using Single-Shot Image |
| Sub Title (in English) | |
| Keyword(1) | Distance estimation |
| Keyword(2) | Deep learning |
| Keyword(3) | Walking speed estimation |
| 1st Author's Name | Kazuki Murayama |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Kenji Kanai |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| 3rd Author's Name | Masaru Takeuchi |
| 3rd Author's Affiliation | Waseda University(Waseda Univ.) |
| 4th Author's Name | Jiro Katto |
| 4th Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2020-11-26 |
| Paper # | SeMI2020-26 |
| Volume (vol) | vol.120 |
| Number (no) | SeMI-261 |
| Page | pp.pp.47-48(SeMI), |
| #Pages | 2 |
| Date of Issue | 2020-11-19 (SeMI) |