title: A Bayes decision test for detecting uncovered-background and moving pixels in image sequences.
abstract: We present a ternary hypothesis test for the detection of stationary, moving, and uncovered-background pixels between two image frames in a noisy image sequence using the Bayes decision criterion. Unlike many uncovered-background detection schemes, our scheme does not require motion estimation for the differentiation between moving pixels and uncovered-background pixels. We formulate the Bayes decision rule using a single intensity-difference measurement at each pixel and using multiple intensity-difference measurements in the neighborhood of each pixel. We quantitatively evaluate our detection algorithm on an image sequence which we have generated and qualitatively on the Trevor White image sequence.
authors.affiliation: Department of Electrical Engineering, The Catholic University of America, Washington, DC 20064, USA. matthews@sharplabs.com
authors.forename: K E
authors.initials: KE
authors.lastname: Matthews
authors.forename: N M
authors.initials: NM
authors.lastname: Namazi