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Research in motion analysis has evolved over the years as a
challenging field. Moving object detection and tracking is of
major interest in applications such as traffic monitoring,
military, medicine and biological sciences etc. In this a new
algorithm is proposed for the detection and tracking of
moving objects. The image sequence is taken from the digital
camera. After preprocessing, the first two frames from the
image sequence are segmented by using 8 component
connectivity. ,Research in motion analysis has evolved over the years as a
challenging field. Moving object detection and tracking is of
major interest in applications such as traffic monitoring,
military, medicine and biological sciences etc. In this a new
algorithm is proposed for the detection and tracking of
moving objects. The image sequence is taken from the digital
camera. After preprocessing, the first two frames from the
image sequence are segmented by using 8 component
connectivity.
challenging field. Moving object detection and tracking is of
major interest in applications such as traffic monitoring,
military, medicine and biological sciences etc. In this a new
algorithm is proposed for the detection and tracking of
moving objects. The image sequence is taken from the digital
camera. After preprocessing, the first two frames from the
image sequence are segmented by using 8 component
connectivity. ,Research in motion analysis has evolved over the years as a
challenging field. Moving object detection and tracking is of
major interest in applications such as traffic monitoring,
military, medicine and biological sciences etc. In this a new
algorithm is proposed for the detection and tracking of
moving objects. The image sequence is taken from the digital
camera. After preprocessing, the first two frames from the
image sequence are segmented by using 8 component
connectivity.
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