| Presentation | 2020-03-05 Pedestrian trajectory prediction considering consistent movement of surrounding people Kei Horiuchi, Yoshihiro Maeda, Daisuke Sugimura, Takayuki Hamamoto, |
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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 pedestrian trajectory prediction method considering the consistent movement of surrounding people. Conventional methods consider the influence of the surrounding people. These methods consider only the short-term positional relationship at a specific time. However, when the trajectories of the surrounding people are similar, the trajectory of the target person may not change dynamically; thus, the trajectory of the target person tends to be consistent. Therefore, it is necessary to consider not only the short-term positional relationship but also the consistency of the pedestrian route, i.e., the long-term positional relationship. To address this problem, the proposed method considers both short- and long-term positional relationships. The proposed method predicts trajectory considering both short-term route changes and long-term route similarities by using features that hidden and cell states. The effectiveness of the proposed method was verified by an evaluation experiment using a public data set. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pedestrian trajectory prediction / short- and long-term positional relationships / LSTM |
| Paper # | IMQ2019-18,IE2019-100,MVE2019-39 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
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| Conference Date | 2020/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pedestrian trajectory prediction considering consistent movement of surrounding people |
| Sub Title (in English) | |
| Keyword(1) | pedestrian trajectory prediction |
| Keyword(2) | short- and long-term positional relationships |
| Keyword(3) | LSTM |
| 1st Author's Name | Kei Horiuchi |
| 1st Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 2nd Author's Name | Yoshihiro Maeda |
| 2nd Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 3rd Author's Name | Daisuke Sugimura |
| 3rd Author's Affiliation | Tsuda University(Tsuda Univ.) |
| 4th Author's Name | Takayuki Hamamoto |
| 4th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| Date | 2020-03-05 |
| Paper # | IMQ2019-18,IE2019-100,MVE2019-39 |
| Volume (vol) | vol.119 |
| Number (no) | IMQ-454,IE-456,MVE-457 |
| Page | pp.pp.23-26(IMQ), pp.23-26(IE), pp.23-26(MVE), |
| #Pages | 4 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |