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<item>
  <id>05317114</id>
  <dt>j</dt>
  <an>05317114</an>
  <augroup>
    <au>Zhang, Zhongfei (Mark)</au>
    <au>Khan, Haroon</au>
    <au>Robertson, Mark A.</au>
  </augroup>
  <ti>A holistic, in-compression approach to video segmentation for independent motion detection.</ti>
  <so>EURASIP J. Adv. Signal Process. 2008, Article ID 738158, 9 p. (2008).</so>
  <py>2008</py>
  <pu>Springer International Publishing, Basel</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1155/2008/738158</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper develops a large scale surveillance video data unsupervised segmentation technique regarding whether there is a presence of independent motion. We propose a holistic, in-compression approach to efficient video segmentation. By efficient, we mean that the processing speed is close to or even faster than real-time in ``normal'' platforms (we do not assume using special hardware or any parallel machines) while still maintaining a good quality segmentation. Theoretical and experimental analyses demonstrate and validate the holistic, in-compression approach to solving for video segmentation problem for independent motion detection.</ab>
    <rv></rv>
  </abgroup>
</item>