{"created":"2025-01-19T00:52:32.855447+00:00","updated":"2025-01-20T02:57:07.026987+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00185440","sets":["1164:4619:9352:9359"]},"path":["9359"],"owner":"11","recid":"185440","title":["人物行動モデルによる軌跡のセマンティックセグメンテーション"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-01-11"},"_buckets":{"deposit":"4b5f64ce-59a0-4677-b832-5e9dceb9ba56"},"_deposit":{"id":"185440","pid":{"type":"depid","value":"185440","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"人物行動モデルによる軌跡のセマンティックセグメンテーション","author_link":["412310","412316","412315","412309","412312","412311","412313","412314"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人物行動モデルによる軌跡のセマンティックセグメンテーション"},{"subitem_title":"Trajectory semantic segmentation based on behavior models","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般セッション1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-01-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"広島大学大学院工学研究科"},{"subitem_text_value":"広島大学大学院工学研究科"},{"subitem_text_value":"広島大学大学院工学研究科"},{"subitem_text_value":"広島大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Hiroshima University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Hiroshima University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Hiroshima University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Hiroshima University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/185440/files/IPSJ-CVIM18210001.pdf","label":"IPSJ-CVIM18210001.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM18210001.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"5bfd65d4-5dc3-41f7-9352-8e83a0941d19","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG.\n"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小川, 大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"玉木, 徹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Bisser, Raytchev"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金田, 和文"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Daisuke, Ogawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toru, Tamaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Bisser, Raytchev","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazufumi, Kaneda","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"軌跡のクラスタリングや分類などの多くの場合では，計算の前処理として軌跡の分割が用いられる．本稿では，学習済みの行動モデルに基づく，軌跡のセマンティックセグメンテーション手法を提案する．提案手法ではまず，画像から複数の行動モデルを学習する．その後，学習済みの行動モデルと隠れマルコフモデルを用いることで，軌跡のセグメンテーションを行う．推定精度の検証には，軌跡の実データと合成データを用い，一般的な軌跡の分割手法である Ramer-Douglas-Peucker アルゴリズムと比較することで，提案手法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preprocessing. In this paper, we propose a trajectory semantic segmentation method based on learned behavior models. In the proposed method, we learn some behavior models from video sequences. Next, using learned behavior models and a hidden markov model, we segment a trajectory into semantic segments. Comparing with the Ramer-Douglas-Peucker algorithm, we show the eflfectiveness of the proposed method.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-01-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2018-CVIM-210"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":185440,"links":{}}