TITLE:
Video Frame’s Background Modeling: Reviewing the Techniques
AUTHORS:
Hamid Hassanpour, Mehdi Sedighi, Ali Reza Manashty
KEYWORDS:
Background Modeling, Moving Object
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.2 No.2,
May
26,
2011
ABSTRACT: 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.