| Presentation | 2023-03-03 Eye-contact Transformer: Eye contact detection of distant pedestrians using a sequence of skeletons and scene features Ryusei Hata, Daisuke Deguchi, Takatsugu Hirayama, Yasutomo Kawanishi, Hiroshi Murase, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | While driving, eye-contact from pedestrians is an important factor in determining whether they are aware of own vehicle or not. Most conventional eye-contact detection methods rely on eye measurement, which is difficult to apply against pedestrians who are distant from the vehicle, such as in a road environment. To solve this problem, we propose Eye-contact Transformer (EyeT), a method for eye-contact detection considering not only the pedestrian but also the surrounding environment. Through the experiments using in-vehicle camera images, we confirmed the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | eye-contact detection / a sequence of skeletons / scene context / Transformer / self-attention |
| Paper # | PRMU2022-112,IBISML2022-119 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
| Conference Information | |
| Committee | PRMU / IBISML / IPSJ-CVIM |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Seiichi Uchida(Kyushu Univ.) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo) / Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Information-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Eye-contact Transformer: Eye contact detection of distant pedestrians using a sequence of skeletons and scene features |
| Sub Title (in English) | |
| Keyword(1) | eye-contact detection |
| Keyword(2) | a sequence of skeletons |
| Keyword(3) | scene context |
| Keyword(4) | Transformer |
| Keyword(5) | self-attention |
| 1st Author's Name | Ryusei Hata |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ) |
| 2nd Author's Name | Daisuke Deguchi |
| 2nd Author's Affiliation | Nagoya University(Nagoya Univ) |
| 3rd Author's Name | Takatsugu Hirayama |
| 3rd Author's Affiliation | University of Human Environments/Nagoya University(UHE/Nagoya Univ) |
| 4th Author's Name | Yasutomo Kawanishi |
| 4th Author's Affiliation | RIKEN/Nagoya University(RIKEN/Nagoya Univ) |
| 5th Author's Name | Hiroshi Murase |
| 5th Author's Affiliation | Nagoya University(Nagoya Univ) |
| Date | 2023-03-03 |
| Paper # | PRMU2022-112,IBISML2022-119 |
| Volume (vol) | vol.122 |
| Number (no) | PRMU-404,IBISML-405 |
| Page | pp.pp.281-286(PRMU), pp.281-286(IBISML), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |