Title :
Linear and regularized solutions for multiple motions
Author :
Stuke, Lngo ; Aach, Til ; Mota, Cicero ; Barth, Erhardt
Author_Institution :
Inst. for Signal Process., Univ. of Lubeck, Germany
Abstract :
We extend a novel framework for the estimation of multiple transparent motions to include regularization. We use mixed-motion parameters to obtain linear Euler-Lagrange equations with a regularization term. The equations are solved iteratively for the mixed-motion parameters based on an update rule that is similar to the case of only one motion. The motion parameters are then obtained as the roots of a complex polynomial of a degree that is equal to the number of overlaid motions. An experimental error analysis is performed and reported.
Keywords :
error analysis; iterative methods; motion estimation; polynomials; Euler-Lagrange equations; complex polynomial roots; computer-vision; experimental error analysis; iterative solution; mixed-motion parameters; motion estimation; multiple motions; Calculus; Computer aided software engineering; Filters; Frequency estimation; Image sequences; Laplace equations; Motion analysis; Motion estimation; Polynomials; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199131