{"id":232951,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232951","sets":["1164:3368:11473:11516"]},"path":["11516"],"owner":"44499","recid":"232951","title":["空撮映像を用いたMultiple Object Trackingと決定木による災害対応のための被害建物検出モデルの開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-26"},"_buckets":{"deposit":"49164c06-4960-4f3f-bd65-82fe7a13b83a"},"_deposit":{"id":"232951","pid":{"type":"depid","value":"232951","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"空撮映像を用いたMultiple Object Trackingと決定木による災害対応のための被害建物検出モデルの開発","author_link":["631675","631676","631674","631673"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"空撮映像を用いたMultiple Object Trackingと決定木による災害対応のための被害建物検出モデルの開発"},{"subitem_title":"Damaged Building Detection using Multiple Object Tracking and Decision Tree from Aerial Videos for Disaster 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report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8809","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"建物被害情報は災害対応において，被災地の被害概況を把握したり建物調査業務を計画したりする上で重要な情報であるが，迅速に収集することは容易ではない．この迅速な収集のために本研究では，空撮映像を用いて地震によって被害を受けた建物を自動で検出するモデルを開発した．本モデルは建物のトラッキングモデル，フレーム画像ごとの被害分類モデル，トラックごとの被害分類を行う決定木モデルの三つから構成されており，以下を考慮したものとなっている．（1）木造建物の層崩壊や瓦屋根被害などの日本特有の建物被害の検出，（2）時系列情報を用いた建物被害レベルの決定，（3）学習データ作成時のアノテーションコストの削減，（4）災害対応のための決定木ノードの効果的な使用．2016 年熊本地震の空撮映像を用いた検出結果は，クラス平均再現率が 47.9％，クラス平均適合率が 48.4％，クラス平均 F 値が 45.7％ となった．さらに先行研究などと比較することで，災害対応における本研究の有効性を分析した．最後に，令和 6 年能登半島地震の空撮映像に適用させ，本モデルの問題点，今後の課題を考察した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告情報システムと社会環境（IS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2024-IS-167"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:15:57.036138+00:00","created":"2025-01-19T01:34:06.860446+00:00","links":{}}