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  <responseDate>2026-04-17T01:08:43Z</responseDate>
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        <identifier>oai:meral.edu.mm:recid/4423</identifier>
        <datestamp>2021-12-13T03:07:29Z</datestamp>
        <setSpec>1582963302567:1597824273898</setSpec>
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          <dc:title>Tracking the Human Motion from Multiple Video Images</dc:title>
          <dc:creator>Htun, Baby</dc:creator>
          <dc:creator>Sein, Myint Myint</dc:creator>
          <dc:description>Object motion and human motion tracking isan important technique used in many systems,especially in the fields of computer vision. Anautomatic motion tracking and catching system isdeveloped in this research. It can be used to entrapsnatchers for shopping mall, office, housing, corridors,borders, secured buildings, at airport and so on. Themultiple perspective imagery is applied to track thedesired people successfully. It needs to establish theperspective Gaussian Mixture Model and ParticleFilter calculation correspondence among the multiplecameras. At once a man pass and is marked or chosento track any view of camera which is implemented, thesystem will track the motion of this subject and as wellas the other cameras will track him. In this paper, wecan track and recognize the subject we desire.</dc:description>
          <dc:date>2015-02-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004423</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4423</dc:identifier>
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