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Kalman filter formulation of the nonuniform image motion estimation in transformed-domains

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3 Author(s)
Namazi, N.M. ; Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA ; Penafiel, P. ; Fan, C.M.

This paper is concerned with the development and implementation of a new pixel-recursive algorithm for nonuniform image motion estimation. Using a unitary transformation, the motion vector is described by a coefficient vector. Since the motion field is typically low-pass, the dimension of the coefficient vector is significantly reduced; the resultant truncated and constant vector is then easily modeled in state-space. A Kalman filter is subsequently implemented to estimate the motion coefficients. Additionally, the paper presents a detection scheme for identification of (detectable) moving pixels from noisy data using a composite likelihood ratio test (LRT). Simulation experiments are presented using real images; results of the simulations are presented

Published in:

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Date of Conference:

16-18 Aug 1993