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Proceedings Paper

Using color to compute optical flow
Author(s): Jiansu Lai; John M. Gauch; Jill D. Crisman
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Paper Abstract

In order to study the motion of non-rigid objects in an image sequence, it is often necessary to compute a dense optical flow field. Gradient-based techniques have been relatively successful at computing dense flow fields for gray-scale images when additional constraints are added. However, these constraints often introduce errors at the edges of objects, where the object motion is different from the background motion. Our approach is to use color images to obtain three constraint equations corresponding to three color components. This gives us an overdetermined linear system with three equations and two unknowns (x and y direction components of optical flow) which can be solved using linear least-squares algorithm. No further constraints are necessary. This paper presents such a color-based optical flow estimation and includes some initial promising results on synthetic motion image data. Further research directions are also discussed.

Paper Details

Date Published: 6 August 1993
PDF: 9 pages
Proc. SPIE 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods, (6 August 1993); doi: 10.1117/12.150197
Show Author Affiliations
Jiansu Lai, Northeastern Univ. (United States)
John M. Gauch, Northeastern Univ. (United States)
Jill D. Crisman, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 2056:
Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods
David P. Casasent, Editor(s)

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