Abstract
A method to determine the stationery probability of regions or feature points in a video sequence is proposed in this paper. This is done by identifying feature points using the Harris corner detector, finding descriptors for the feature points and then tracking the feature points. The information gained from tracking the feature points is then used to determine the stationery probability of these features. This method is shown to successfully identify probable stationery and moving regions in video sequences.