{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00052603","sets":["1164:4619:4649:4653"]},"path":["4653"],"owner":"1","recid":"52603","title":["色競合における適応的事例収集法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2003-05-08"},"_buckets":{"deposit":"0ec5f75a-6326-4c76-805f-da6327e47552"},"_deposit":{"id":"52603","pid":{"type":"depid","value":"52603","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"色競合における適応的事例収集法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"色競合における適応的事例収集法"},{"subitem_title":"Adaptive Collecting Examples in Color Competition","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2003-05-08","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学大学院知能情報学専攻"},{"subitem_text_value":"和歌山大学"},{"subitem_text_value":"京都大学大学院知能情報学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyoto University Information Science","subitem_text_language":"en"},{"subitem_text_value":"Wakayama University","subitem_text_language":"en"},{"subitem_text_value":"Kyoto University Information Science","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/52603/files/IPSJ-CVIM03138001.pdf"},"date":[{"dateType":"Available","dateValue":"2005-05-08"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM03138001.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5c9f02ad-1032-4d4f-b510-8f34639d528d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2003 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山本, 俊一"},{"creatorName":"和田, 俊和"},{"creatorName":"奥乃, 博"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shunichi, Yamamoto","creatorNameLang":"en"},{"creatorName":"Toshikazu, Wada","creatorNameLang":"en"},{"creatorName":"Hiroshi, G.Okuno","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"画像から指定した色を検出する方法として、色競合法が提案されている。これは色空間内で最近傍識別を行いルックアップテーブルを構成する手法で、ターゲットと非ターゲットのパターンを教示することにより精度よく，しかも高速に学習と識別が可能であることが知られている．この手法では学習パターンが多いほど検出精度が良くなるが，人手で大量の学習パターンを収集することは困難である．本研究では，動画像において実時間で肌色に基づいて人物追跡を行いながら肌色と非肌色の学習パターンを収集し，肌色の動的学習を行う手法を提案する．追跡中の顔領域と色の変化の連続性に基づいて学習パターン仮説を生成し，色空間における色の類似性と肌色検出への貢献度に基づいて仮説検証を行い，尤もらしい学習パターンを決定し学習する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The color competition method is proposed as a method of detecting the specified color from an image. This is the method of constituting a look up table using nearest neighbor in a color space. This method is known to be able to learn and classify fast and accurately if the method be trained by specifying target and nontarget color examples. This method can accurately detect if there are many training patterns. However, it is difficult to collect many training patterns manually. In this report, we propose a method that collect training patterns of skin color and non-skin color, tracking humans based on skin color, and learn skin color dynamically. This method generates hypotheses of training patterns based on regions of tracking faces and continuity in color variation, and verifies these hypotheses based on similarity of colors and contribution to detecting skin color, and learn likely training patterns.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"情報処理学会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":"2003-05-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"41(2003-CVIM-138)","bibliographicVolumeNumber":"2003"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":52603,"updated":"2025-01-22T06:41:08.432033+00:00","links":{},"created":"2025-01-18T23:16:53.680033+00:00"}