Paper
6 August 1993 Using color to compute optical flow
Jiansu Lai, John M. Gauch, Jill D. Crisman
Author Affiliations +
Proceedings Volume 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods; (1993) https://doi.org/10.1117/12.150197
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiansu Lai, John M. Gauch, and Jill D. Crisman "Using color to compute optical flow", Proc. SPIE 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods, (6 August 1993); https://doi.org/10.1117/12.150197
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Optical flow

Computer vision technology

Machine vision

Motion estimation

Robot vision

Robots

Digital filtering

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