A Bayes decision test for detecting uncovered-background and moving pixels in image sequences

• Published in: IEEE transactions on image processing Vol. 7; no. 5; pp. 720 - 728
• Main Authors: Matthews, K.E., Namazi, N.M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.1998; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Degradation; Detection algorithms; Exact sciences and technology; Image coding; Image processing; Image segmentation; Image sequences; Information, signal and communications theory; Motion compensation; Motion detection; Motion estimation; Pixel; Signal processing; Telecommunications and information theory; Testing; Hypothesis test; Segmentation; Coding; Moving image; Image sequence; Teleconference; Intensity; Likelihood ratio test; Bayes decision; Videophone; Noisy image
• ISSN: 1057-7149; 1941-0042
• DOI: 10.1109/83.668028

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.