Author(s)

Hamid Hassanpour, Mehdi Sedighi, Ali Reza Manashty

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Background modeling is a technique for extracting moving objects in video frames. This technique can be used in ma-chine 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. Even-tually, the difference determines the moving objects. This paper evaluates a number of existing background modeling techniques in term of accuracy, speed and memory requirement.

Background Modeling, Moving Object

H. Hassanpour, M. Sedighi and A. Manashty, "Video Frame’s Background Modeling: Reviewing the Techniques," Journal of Signal and Information Processing, Vol. 2 No. 2, 2011, pp. 72-78. doi: 10.4236/jsip.2011.22010.