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) |