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Proceedings Paper

Applications of polynomial transforms to motion estimation
Author(s): Jose Luis Silvan-Cardenas; Boris Escalante-Ramirez
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Paper Abstract

We present in this paper a method to estimate movement in digital video sequences from a 3D representation model based on polynomial transforms. This transform allows to obtain representations of the video sequence at multiple spatiotemporal resolutions. Our approach analyzes the video sequence locally by means of spatiotemporal windows. It allows to recover the true flow in regions free of the aperture problem as well as given an estimate of the normal component of motion for oriented patterns detected within each window. Different window sizes in space and time are allowed for an efficient analysis of all types of motion.

Paper Details

Date Published: 24 September 1998
PDF: 12 pages
Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); doi: 10.1117/12.323447
Show Author Affiliations
Jose Luis Silvan-Cardenas, Univ. Nacional Autonoma de Mexico (Mexico)
Boris Escalante-Ramirez, Univ. Nacional Autonoma de Mexico (Mexico)

Published in SPIE Proceedings Vol. 3457:
Mathematical Modeling and Estimation Techniques in Computer Vision
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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