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Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring
http://hdl.handle.net/10061/0002000206
http://hdl.handle.net/10061/0002000206810ff3eb-7e68-4509-bc01-14dd0f2ece46
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
fulltext (13.6 MB)
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| アイテムタイプ | 会議発表論文 / Conference Paper(1) | |||||||
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| 公開日 | 2024-04-18 | |||||||
| タイトル | ||||||||
| タイトル | Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ | conference paper | |||||||
| 著者 |
Fukuda, Takumi
× Fukuda, Takumi
× 新井, イスマイル× 遠藤, 新× 垣内, 正年× 藤川, 和利 |
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Sidewalks should be developed and integrated into city planning for economic growth and livability. And it is necessary to obtain data on pedestrians. One type of pedestrian data, pedestrian counting, commonly uses visible and far-infrared cameras to detect and track people. However, it is not clear in which situations the number of pedestrians can be efficiently estimated from each video. In this study, we use visible and far-infrared videos captured on sidewalks to estimate the number of pedestrians. And we investigate the effects of various times and weather on the estimation accuracy. Experimental results showed that the head count accuracy decreased when using visible video at night and in the rain. When using far-infrared video, the accuracy of head count decreased in the range of 23°C-30°C of ambient temperature. This study revealed that in order to achieve a highly accurate head count throughout the day, it is necessary to change the video used depending on the time and ambient temperature or to use both types of video. | |||||||
| 書誌情報 |
en : 2023 IEEE International Conference on Smart Mobility (SM) 発行日 2023-05-03 |
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| 会議情報 | ||||||||
| 会議名 | 2023 IEEE International Conference on Smart Mobility (SM) | |||||||
| 開始年 | 2023 | |||||||
| 開始月 | 03 | |||||||
| 開始日 | 19 | |||||||
| 終了年 | 2023 | |||||||
| 終了月 | 03 | |||||||
| 終了日 | 21 | |||||||
| 開催地 | Thuwal | |||||||
| 開催国 | SAU | |||||||
| 出版者 | ||||||||
| 出版者 | IEEE | |||||||
| 出版者版DOI | ||||||||
| 関連タイプ | isVersionOf | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.1109/SM57895.2023.10112301 | |||||||
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| 関連タイプ | isVersionOf | |||||||
| 識別子タイプ | URI | |||||||
| 関連識別子 | https://ieeexplore.ieee.org/document/10112301 | |||||||
| 権利 | ||||||||
| 権利情報 | $00A9 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 出版社許諾条件により、本文は2025年5月3日以降に公開 | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | AM | |||||||
