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Cited by 253

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A three-frame algorithm for estimating two-component image motion

Bergen, J.R., Burt, P.J., Hingorani, R., Peleg, S.·1992·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

A fundamental assumption made in formulating optical-flow algorithms, that motion at any point in an image can be represented as a single pattern component undergoing a simple translation, fails for a number of situations that commonly occur in real-world images. An alternative formulation of the local motion assumption in which there may be two distinct patterns undergoing coherent (e.g. affine) motion within a given local analysis region is proposed. An algorithm for the analysis of two-component motion in which tracking and nulling mechanisms applied to three consecutive image frames separate and estimate the individual components is given. Precise results are obtained, even for components that differ only slightly in velocity as well as for a faint component in the presence of a dominant, masking component. The algorithm provides precise motion estimates for a set of elementary two-motion configurations and is robust in the presence of noise.>

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Metadata

Authors
Bergen, J. R., Burt, P. J., Hingorani, R., & Peleg, S.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1992
Volume
14
Issue
9
Pages
886-896
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2155986238
Cited by
253
References
1
FWCI
8.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A three-frame algorithm for estimating two-component image motion. https://app.cochat.ai/papers/10.1109/34.161348
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Bergen, J. R., Burt, P. J., Hingorani, R., & Peleg, S. (1992). A three-frame algorithm for estimating two-component image motion. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.161348

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