Title :
Analytic solutions for multiple motions
Author :
Mota, C. ; Stuke, I. ; Barth, E.
Author_Institution :
Inst. for Signal Process., Univ. of Lubeck, Germany
Abstract :
A novel framework for single and multiple motion estimation is presented. It is based on a generalized structure tensor that contains blurred products of directional derivatives. The order of differentiation increases with the number of motions but more general linear filters can be used instead of derivatives. From the general framework, a hierarchical algorithm for motion estimation is derived and its performance is demonstrated on a synthetic sequence
Keywords :
computational complexity; computer vision; differentiation; eigenvalues and eigenfunctions; filtering theory; image sequences; motion estimation; analytic solutions; blurred products; computer vision; differentiation order; directional derivatives; eigenvectors; general linear filters; generalized structure tensor; hierarchical algorithm; low-complexity algorithms; medical imaging; multiple motion estimation; synthetic image sequence; Computer applications; Eigenvalues and eigenfunctions; Gabor filters; Least squares approximation; Motion analysis; Motion estimation; Nonlinear filters; Optimization methods; Signal processing; Signal processing algorithms;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958644
