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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010351</journal-id>
      <journal-title>Conference on Colour in Graphics, Imaging, and Vision</journal-title>
      <abbrev-journal-title>conf colour graph imag vis</abbrev-journal-title>
      <issn pub-type="ppub">2158-6330</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society of Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151, USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/CGIV.2004.2.1.art00028</article-id>
      <article-id pub-id-type="sici">2158-6330(20040101)2004:1L.130;1-</article-id>
      <article-id pub-id-type="publisher-id">cgiv_v2004n1/splitsection28.xml</article-id>
      <article-id pub-id-type="other">/ist/cgiv/2004/00002004/00000001/art00028</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Segment Cluster Tracking</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Ross</surname>
            <given-names>Mark</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2004</year>
      </pub-date>
      <volume>2004</volume>
      <issue>1</issue>
      <fpage>130</fpage>
      <lpage>134</lpage>
      <permissions>
        <copyright-year>2004</copyright-year>
      </permissions>
      <abstract>
        <p>Segment Cluster Tracking is a new approach of motion analysis in the class of mapping methods/algorithms. It solves the correspondence problem by matching image regions, resp. features of image regions.The image regions are created by combining color segments - the result of a color
 segmentation- to segment clusters. The tracking task is to find best correspondences between clusters of segments in consecutive frames of a sequence.Segment Cluster Tracking has better computation time in comparison to the prior approach of so called <italic>n</italic>:<italic>m</italic>-Matching [Reh98]
 and in addition the possibility of using backward information. This leads to an increasing tracking quality and robustness [Ros03].</p>
      </abstract>
    </article-meta>
  </front>
</article>
