Title :
Some steps towards a unified motion estimation procedure
Author_Institution :
Image & Vision Group, Inst. for Appl. Phys., Frankfurt/Main, Germany
Abstract :
This paper shows how prior knowledge on the video signal (e.g. spatial autocovariance, distribution of expected motion speed, noise spectrum, ...) can be integrated into a motion estimation procedure. Relations between different classes of motion algorithms (differential, tensor-based, block matching, ...) are discussed and perspectives for a unification and enhancement of such procedures are presented.
Keywords :
motion estimation; video signal processing; noise spectrum; spatial autocovariance; tensor-based block matching; tensor-based motion estimation; unified motion estimation procedure; video signal; Filter bank; Image motion analysis; Motion analysis; Motion estimation; Optimization methods; Physics; Signal processing; Statistics;
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
DOI :
10.1109/MWSCAS.2002.1186824