Art
J-GLOBAL ID：202002279193436719
Reference number：20A0948692
Investigation of Fire Detection in Various Indoor Environments using Characteristics of Spatio-Temporal Domain
時空間領域の特徴を用いた多様な屋内環境における火災検知の検討
Author (4)：
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Material：
Issue：
PI-20-001-019/IIS-20-032-050 知覚情報研究会/次世代産業システム研究会
Page：
85-90
Publication year：
Mar. 23, 2020
JST Material Number：
Z0924B
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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All keywords is available on JDreamIII(charged).
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Graphic and image processing in general
, Fire
Reference (5)：
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Sebastien Frizzi, Rabeb Kaabi, Moez Bouchouicha, Jean-Marc Ginoux, Eric Moreau and Farhat Fnaiech:“Convolutional Neural Network for Video Fire and Smoke Detection”, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, pp.877-882, (2016)
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中島和樹,門馬英一郎,小野隆:「Deep Learningを用いた屋内火災及び煙検知の基礎検討」,電気学会知覚情報/次世代産業システム合同研究会資料,pp.11-15(2018)
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ISO/TS 7240-9:2012 Fire detection and alarm systems- Part9: Test fires for fire detectors
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CG-ARTS協会:「ディジタル画像処理[改訂新版]」(2015)
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天野潤平,門馬英一郎,小野隆,中村嘉夫,江幡弘道:「煙の可視化画像におけるパーティクルフィルタを用いた煙検知の検討」,動的画像処理実利用化ワークショップ 2019,pp.148-149(2019)
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