Applications of polynomial transforms to motion estimation

Jose Luis Silvan-Cardenas; Boris Escalante-Ramirez

doi:10.1117/12.323447

24 September 1998 Applications of polynomial transforms to motion estimation

Jose Luis Silvan-Cardenas, Boris Escalante-Ramirez

Proceedings Volume 3457, Mathematical Modeling and Estimation Techniques in Computer Vision; (1998) https://doi.org/10.1117/12.323447
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Jose Luis Silvan-Cardenas and Boris Escalante-Ramirez "Applications of polynomial transforms to motion estimation", Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); https://doi.org/10.1117/12.323447

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