| Presentation | 2024-03-14 Study of Feature Visualization of Running Motion from RGB Videos Using Spatial Temporal Graph Convolutional Networks and Deep Metric Learning Haruya Tanaka, Chanjin Seo, Hiroyuki Ogata, Jun Ohya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the running population has been increasing, and demand for coaching systems for amateur runners is expected to increase. Since each individual has a different goal and body shape, it is considered necessary to provide coaching suited to the individual, and for this purpose, quantitative evaluation of the characteristics of the individual's movements is required. In this paper, we investigate a method to extract and visualize features common to clusters obtained by applying ST-GCN and deep metric learning to RGB video data of running motions. Experiments using an action recognition dataset confirmed the validity of the proposed method and the nature of the visualized results. Experiments using running behavior data show that the proposed method can visualize the features of running behavior. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | running / coaching system / ST-GCN / deep metric learning |
| Paper # | IMQ2023-58,IE2023-113,MVE2023-87 |
| Date of Issue | 2024-03-06 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / MVE / CQ / IMQ |
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| Conference Date | 2024/3/13(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Sangyo Shien Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） |
| Chair | Hiroyuki Bandoh(NTT) / Kiyoshi Kiyokawa(NAIST) / Takefumi Hiraguri(Nippon Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) |
| Vice Chair | Yuichi Tanaka(Osaka Univ.) / Toshihiko Yamazaki(Univ. of Tokyo) / Sumaru Niida(KDDI Research) / Takahiro Matsuda(Tokyo Metropolitan Univ.) / Gou Hasegawa(Tohoku Univ.) / Sumaru Niida(KDDI Research) / Gosuke Ohashi(Shizuka Univ.) |
| Secretary | Yuichi Tanaka(NHK) / Toshihiko Yamazaki(Tottori Univ.) / Sumaru Niida(Otsuma Women's Univ.) / Takahiro Matsuda(DNP) / Gou Hasegawa(NTT) / Sumaru Niida(NTT) / Gosuke Ohashi(Tama Univ.) |
| Assistant | Kazunori Uruma(Kogakuin Univ.) / Shinobu Kudo(KDDI Research) / Hidehiko Shishido(Univ. of Tsukuba) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) / Yuji Tatada(Univ. of Tokyo) / Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(Okayama Univ. of Science) / Kuniharu Imai(Nagoya Univ.) / Takashi Yamazoe(Seikei Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality / Technical Committee on Image Media Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of Feature Visualization of Running Motion from RGB Videos Using Spatial Temporal Graph Convolutional Networks and Deep Metric Learning |
| Sub Title (in English) | |
| Keyword(1) | running |
| Keyword(2) | coaching system |
| Keyword(3) | ST-GCN |
| Keyword(4) | deep metric learning |
| 1st Author's Name | Haruya Tanaka |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Chanjin Seo |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| 3rd Author's Name | Hiroyuki Ogata |
| 3rd Author's Affiliation | Seikei University(Seikei Univ.) |
| 4th Author's Name | Jun Ohya |
| 4th Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2024-03-14 |
| Paper # | IMQ2023-58,IE2023-113,MVE2023-87 |
| Volume (vol) | vol.123 |
| Number (no) | IMQ-430,IE-432,MVE-433 |
| Page | pp.pp.246-251(IMQ), pp.246-251(IE), pp.246-251(MVE), |
| #Pages | 6 |
| Date of Issue | 2024-03-06 (IMQ, IE, MVE) |