| Presentation | 2018-01-18 複数フレームの統合による混雑環境での車椅子利用者検出に関する検討 Ukyo Tanikawa, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tatsuo Akiyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, to support wheelchair users, there has been an increasing demand for a system to detect wheelchair users from a surveillance video. However, since many pedestrians are often walking around wheelchair users in a crowded scene, miss-detections easily occur when they are occluded in a frame. False detections also easily occur since wheelchair users appear similar to pedestrians. We report on a method to detect wheelchair users accurately from a video observing a crowded scene. The proposed method integrates multi-frames features of wheelchair-user candidates, which enables to detect wheelchair users accurately that cannot be detected without false detections from a single frame. As a result of an experiment, the proposed method achieved the highest accuracy compared with other methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wheelchair-user detection / object tracking / CNN |
| Paper # | PRMU2017-114,MVE2017-35 |
| Date of Issue | 2018-01-11 (PRMU, MVE) |
| Conference Information | |
| Committee | PRMU / MVE / IPSJ-CVIM |
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| Conference Date | 2018/1/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Yoshinari Kameda(Univ. of Tsukuba) |
| Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Kenji Mase(Nagoya Univ.) |
| Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Kenji Mase(Kyoto Univ.) / (NTT) |
| Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Takatsugu Hirayama(Nagoya Univ.) / Ryosuke Aoki(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Media Experience and Virtual Environment / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | Wheelchair-user detection |
| Keyword(2) | object tracking |
| Keyword(3) | CNN |
| 1st Author's Name | Ukyo Tanikawa |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 2nd Author's Name | Yasutomo Kawanishi |
| 2nd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 3rd Author's Name | Daisuke Deguchi |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Ichiro Ide |
| 4th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 5th Author's Name | Hiroshi Murase |
| 5th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 6th Author's Name | Tatsuo Akiyama |
| 6th Author's Affiliation | NEC Corporation(NEC) |
| Date | 2018-01-18 |
| Paper # | PRMU2017-114,MVE2017-35 |
| Volume (vol) | vol.117 |
| Number (no) | PRMU-391,MVE-392 |
| Page | pp.pp.15-20(PRMU), pp.15-20(MVE), |
| #Pages | 6 |
| Date of Issue | 2018-01-11 (PRMU, MVE) |