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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00052157</identifier>
        <datestamp>2025-01-19T23:05:30Z</datestamp>
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          <dc:title>ＭＰＥＧビデオデータの動きベクトルを用いた移動物体追跡手法</dc:title>
          <dc:title xml:lang="en">Moving Object Detection Using Motion Vectors in MPEG Video Data</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>岩崎, 敏紀</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>横山, 貴紀</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>渡辺, 俊典</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>古賀, 久志</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>阿部, 龍士</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Toshiki, IWASAKl</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Takanori, YOKOYAMA</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Toshinori, WATANABE</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Hisashi, KOGA</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Tatsuo, ABE</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">MＰＥＧによって圧縮された動画像データから移動物体を追跡する手法を提案する．ＭＰＥＧによって圧縮された動画像データには 動き補償予測のために動きベクトルがすでに記録されている．この動きベクトルの始点終点に基づいた領域と フレーム間を通しての動きベクトルの連続性を用いて，フレーム内を始点終点領域 始点領域 終点領域及び 補間領域に区別する．各領域の属性と動きベクトルを基に移動物体の検出 追跡を行う</datacite:description>
          <datacite:description descriptionType="Other">In this paper, we propose a method to detect moving objects using motion vectors in MPEG video data. MPEG video data generated by motion compensated prediction contains motion vectors that describe motions of objects. Therefore, it is possible to track and detect moving objects, in the compressed domain, using these vectors. Regions in each frame can also be reconstructed using these vectors. Exploiting the reconstructed regions, we can detect moving objects.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2006-09-09</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/52157</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA11131797</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>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）</jpcoar:sourceTitle>
          <jpcoar:volume>2006</jpcoar:volume>
          <jpcoar:issue>93(2006-CVIM-155)</jpcoar:issue>
          <jpcoar:pageStart>167</jpcoar:pageStart>
          <jpcoar:pageEnd>174</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2008-09-09</datacite:date>
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