1 July 1991 Motion displacement estimation using an affine model for image matching
Author Affiliations +
Optical Engineering, 30(7), (1991). doi:10.1117/12.55885
Abstract
A model is developed for estimating the displacement field in spatio-temporal image sequences that allows for affine shape deformations of corresponding spatial regions and for affine transformations of the image intensity range. This model includes the block matching method as a special case. The model parameters are found by using a least-squares algorithm. We demonstrate experimentally that the affine matching algorithm performs better in estimating displacements than other standard approaches, especially for long-range motion with possible changes in scene illumination. The algorithm is successfully applied to various classes of moving imagery, including the tracking of cloud motion.
Chiou-Shann Fuh, Petros Maragos, "Motion displacement estimation using an affine model for image matching," Optical Engineering 30(7), (1 July 1991). http://dx.doi.org/10.1117/12.55885
JOURNAL ARTICLE
7 PAGES


SHARE
KEYWORDS
Affine motion model

Motion estimation

Motion models

Detection and tracking algorithms

Clouds

Algorithm development

Digital filtering

Back to Top