Object tracking using background subtraction
Background subtraction is a technique that models the background in a given video, and then uses that model to detect moving objects. This technique is used a lot in video compression as well as video surveillance. It performs really well where we have to detect moving objects within a static scene. The algorithm basically works by detecting the background, building a model for it, and then subtracting it from the current frame to obtain the foreground. This foreground corresponds to moving objects.
One of the main steps here it to build a model of the background. It is not the same as frame differencing because we are not differencing successive frames. We are actually modeling the background and updating ...
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