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

Author

Matthews, Kristine E. ; Namazi, Nader M.

Author_Institution

Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA

Volume

7

Issue

5

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

720

Lastpage

728

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

Keywords

Bayes methods; decision theory; image classification; image sequences; noise; Bayes decision test; Trevor White image sequence; detection algorithm; differentiation; image frames; image sequence; image sequences; intensity-difference measurement; moving pixels; noisy image sequence; stationary pixels; ternary hypothesis test; uncovered-background; uncovered-background detection schemes; uncovered-background pixels; Degradation; Detection algorithms; Image coding; Image segmentation; Image sequences; Motion compensation; Motion detection; Motion estimation; Pixel; Testing;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.668028

Filename

668028