Video Frame's Background Modeling: Reviewing the Techniques

نویسندگان

  • Hamid Hassanpour
  • Mehdi Sedighi
  • Ali Reza Manashty
چکیده

Background modeling is a technique for extracting moving objects in video frames. This technique can be used in machine vision applications, such as video frame compression and monitoring. To model the background in video frames, initially, a model of scene background is constructed, then the current frame is subtracted from the background. Eventually, the difference determines the moving objects. This paper evaluates a number of existing background modeling techniques in terms of accuracy, speed and memory requirement.

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عنوان ژورنال:
  • J. Signal and Information Processing

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2011