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  <titleInfo>
    <title>Abnormal behavior detection using star skeleton</title>
  </titleInfo>
  <name type="personal">
    <namePart>Do Tuan Anh</namePart>
    <role>
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    </role>
  </name>
  <name type="personal">
    <namePart>Dailey, Mathew N.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Guha, Sumanta</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Janecek, Paul</namePart>
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    </role>
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  <genre authority="marc">technical report</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2008</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>22 p. : ill.</extent>
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  <abstract>Security is an important problem nowadays, especially outside security of important building like banks, underground stations, and military stations. In most video surveillance systems, operators take a seat in front of the screen and watch for abnormal behavior. It is not an interesting job and sometimes operators get distracted. Important events can occur at that time.  I propose work on an automated computer video surveillance system that acquires video, tracks objects, and analyzes objects in order to automatically detect abnormal behavior and notify operators to take action when they occur</abstract>
  <note>Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology</note>
  <subject authority="lcsh">
    <topic>Computer vision</topic>
  </subject>
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    <titleInfo>
      <title>Research studies project report  ; no. CS-08-03</title>
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      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B01281</identifier>
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