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24 September 1998 Applications of polynomial transforms to motion estimation
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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