Share Email Print

Proceedings Paper

Multiresolution motion estimation
Author(s): Klaus Illgner; Werner Praefcke; Frank Mueller
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Motion estimation is an important aspect for image sequence analysis, which is part of image sequence coding. Due to its simplicity and robustness the currently preferred motion estimation technique is block matching. The approach described in this paper eliminates the systematic limitations of conventional block matching. The algorithm is based on a resolution pyramid which is treated as a tree with one to one relationships (links) of the pixels between the levels. Within the pyramid motion estimation is done top-down by matching each pixel, which results in a multiresolution motion vector field. The links are iteratively refined according to a homogeneity criterion incorporating the intensity as well as the motion vectors. Hence a segmentation of the image is obtained and motion estimation is performed on regions instead of blocks. Motion estimation and segmentation are performed iteratively in alternating steps. The final segmentation obtained is characterized by homogeneous motion as well as homogeneous intensity.

Paper Details

Date Published: 13 March 1996
PDF: 9 pages
Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); doi: 10.1117/12.234738
Show Author Affiliations
Klaus Illgner, RWTH Aachen (Germany)
Werner Praefcke, RWTH Aachen (Germany)
Frank Mueller, RWTH Aachen (Germany)

Published in SPIE Proceedings Vol. 2666:
Image and Video Processing IV
Robert L. Stevenson; M. Ibrahim Sezan, Editor(s)

© SPIE. Terms of Use
Back to Top