Title :
Motion estimation with a dynamic programming optimization operator
Author :
Mozerov, M. ; Kober, V. ; Choi, T.S.
Author_Institution :
Inst. of Inf. Transmission Problems, Acad. of Sci., Moscow, Russia
Abstract :
A new motion estimation algorithm on the basis of a dynamic programming optimization operator (DPOO) is proposed. Motion estimation computation is formulated as a matching optimization problem of multiple dynamic images. A new operator that is a modification of dynamic programming recursion has been designed. This operator allows multiple implementations, and extends 1D optimization of the dynamic programming method to N-D optimization. Discrete Fourier transform based data level reduction for the motion estimation algorithm has been realized.
Keywords :
data reduction; discrete Fourier transforms; dynamic programming; image matching; image sequences; motion estimation; N-D optimization; data level reduction; discrete Fourier transform; dynamic programming optimization operator; dynamic programming recursion; matching optimization problem; motion estimation; multiple dynamic images; Discrete Fourier transforms; Dynamic programming; Heuristic algorithms; Image motion analysis; Image sequences; Motion analysis; Motion estimation; Optical computing; Optimization methods; Pixel;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1039939