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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00018772</identifier>
        <datestamp>2025-01-22T22:32:46Z</datestamp>
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        <jpcoar:jpcoar xmlns:datacite="https://schema.datacite.org/meta/kernel-4/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcndl="http://ndl.go.jp/dcndl/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:jpcoar="https://github.com/JPCOAR/schema/blob/master/1.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rioxxterms="http://www.rioxx.net/schema/v2.0/rioxxterms/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="https://github.com/JPCOAR/schema/blob/master/1.0/" xsi:schemaLocation="https://github.com/JPCOAR/schema/blob/master/1.0/jpcoar_scm.xsd">
          <dc:title>レンジイメージを用いた空間内の時系列人物認識とモデル化</dc:title>
          <dc:title xml:lang="en">Time series person recognition and modeling in the real world by using range images</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>土屋, 友寛</jpcoar:creatorName>
            <jpcoar:creatorName>大石, 浩徳</jpcoar:creatorName>
            <jpcoar:creatorName>西村, 直久</jpcoar:creatorName>
            <jpcoar:creatorName>有澤, 博</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Tomohiro, TSUCHIYA</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Hironori, OHISHI</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Naohisa, NISHIMURA</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Hiroshi, ARISAWA</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">空間内の複数の人を認識し自動で追尾撮影することや、人物の挙手・起立・着席などのイベントを検出し、検索可能な状態で映像と共に蓄積しておくことは、監視カメラ、遠隔講義などの分野で非常に有用である。人物認識の手法として一般的な画像認識のアプローチでは、対象となる環境に制約があり、安定して認識できない問題がある。そこで本研究では３次元スキャン型レーザレンジファインダからのレンジイメージを用いて人物を認識し、人物のイベント情報を映像と共に蓄積する手法を提案し、実際にシステムを構築して優位性を確認した。</datacite:description>
          <datacite:description descriptionType="Other">We can get the results of recognizing several people in a space and purchasing the motion of them automatically, detecting one's raising hand, standing up, sitting down and other events. It is very useful to store the index-state results with the images, in the field of monitoring camera and remote lecture and etc. Normally, because of the restriction of the circumstance, it is difficult to do the recognition stably by using the images of the cameras. In this research, we propose a new approach. We did the recognition by using a laser measurement which can scan the three-dimension. We also constructed the system and proved the superiority of it.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2007-07-02</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/18772</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10112482</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会研究報告データベースシステム（DBS）</jpcoar:sourceTitle>
          <jpcoar:volume>2007</jpcoar:volume>
          <jpcoar:issue>65(2007-DBS-143)</jpcoar:issue>
          <jpcoar:pageStart>151</jpcoar:pageStart>
          <jpcoar:pageEnd>156</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2009-07-02</datacite:date>
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