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Proceedings Paper

Robust estimation of image motion by the fusion of gradient-based and feature-matching methods
Author(s): Kwangho Lee; KwangYun Wohn
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Paper Abstract

This paper is concerned with the robust estimation of the optical flow from time-varying images. Most of the existing methods which estimate the image motion lie within two general classes. The gradient-based method uses a relationship between the motion of surfaces and the spatial/temporal derivatives of image brightness. The feature- matching approach examines the dynamic variation of image structures such as contours. Each motion estimation technique has its strengths and weakness. The goal of this paper is to devise a model which combines the feature-matching and the gradient-based methods using multi-resolution image so that more accurate optical flow field is produced. Our optical flow estimation algorithm is basically coarse- to-fine multi-resolution scheme with the iterative registration for each resolution. At first, optical flow component along the direction of spatial gradient, i.e., normal flow, is estimated. Based upon the confidence measure for normal flow, which represents the accuracy of the estimated normal flow, full flow is obtained by an iterative weighted least squares estimation. To improve the quality of full flow, the iterative registration is applied to reduce the displaced frame difference based on the Gaussian and the Laplacian-of-Gaussian images. With the proposed fusion technique of the feature-matching using the band-pass filtered image and the gradient-based method using the low-pass filtered image, we pursue the possibility of combining two independent optical flow estimation methods based on the weighted multi-constraints.

Paper Details

Date Published: 3 October 1994
PDF: 11 pages
Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); doi: 10.1117/12.188727
Show Author Affiliations
Kwangho Lee, Korea Advanced Institute of Science and Technology (South Korea)
KwangYun Wohn, Korea Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 2347:
Machine Vision Applications, Architectures, and Systems Integration III
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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