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深層学習に基づく野生動物認識システム
https://doi.org/10.18999/chufr.68.25
124991ee-e4e7-4a1f-8bc7-dd4bc71a25fd
名前 / ファイル | ライセンス | アクション | |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-10-05 | |||||
タイトル | ||||||
タイトル | 深層学習に基づく野生動物認識システム | |||||
その他のタイトル | ||||||
その他のタイトル | A wildlife recognition system based on deep learning | |||||
著者 |
上原, 祐介
× 上原, 祐介× 大谷, 直也× 西本, 圭佑× 川﨑, 邦将× 松井, 康浩× 長田, 茂美× 北村, 俊平× 矢田, 豊× UEHARA, Yusuke× OTANI, Naoya× NISHIMOTO, Keisuke× KAWASAKI, Kunimasa× MATSUI, Yasuhiro× NAGATA, Shigemi× KITAMURA, Shumpei× YADA, Yutaka |
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キーワード | ||||||
主題Scheme | Other | |||||
主題 | 野生動物認識 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | カメラトラップ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 深層学習 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 画像認識 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | セマンティックセグメンテーション | |||||
抄録 | ||||||
内容記述 | 野生動物の保護管理への対策を講じるためには,野生動物の生息状況の調査が必須である。このため,カメラトラップを用いた調査が行われているが,大量に撮影される画像を調査者が確認して,野生動物を見つけ出し,種を同定する労力の大きさが間題となっている。この間題を解決するため,深層学習に基づいて,画像から野生動物の在/不在や種を認識し,画像上の領域とともに提示することで,調査者の労力を軽減する野生動物認識システムを構築した。石川県農林総合研究センター林業試験場で撮影した画像を用いて本システムを評価した結果,野生動物の種の同定作業の6割以上の労力が削減可能であり,調査者の労力軽減に有用であることが示された。 | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
出版者 | 中部森林学会事務局 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
ID登録 | ||||||
ID登録 | 10.18999/chufr.68.25 | |||||
ID登録タイプ | JaLC | |||||
ISSN(print) | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1342-971X | |||||
書誌情報 |
中部森林研究 巻 68, p. 25-30, 発行日 2020-05-30 |
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著者版フラグ | ||||||
値 | publisher |