An Optical Flow Estimation Algorithm Using the Spatio-Temporal Hierarchical Structure
Summary :
In this letter, we propose an algorithm to estimate the optical flow fields based on a hierarchical structure composed of spatio-temporal image pyramids obtained from repetitive application of the Gaussian filtering and decimation in both the spatial and temporal domain. In our approach, an inter-level motion smoothness constraint between adjacent pyramid levels is introduced to estimate a unique optical flow field. We show that the pyramid structure allows us to employ the multigrid algorithm, which is known to accelerate the convergence rate. The multigrid algorithm provides a scheme for efficient combination of local and global information to estimate the optical flow field. The experimental results reveal that the combination of local and global information yields a fast convergence behavior and accurate motion estimation results.
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- IEICE TRANSACTIONS on Information Vol.E76-D No.4 pp.507-515
- Publication Date
- 1993/04/25
- Publicized
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- Type of Manuscript
- Special Section LETTER (Special Issue on Image Processing and Understanding)
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Shin Hwan HWANG, Sang Uk LEE, "An Optical Flow Estimation Algorithm Using the Spatio-Temporal Hierarchical Structure" in IEICE TRANSACTIONS on Information,
vol. E76-D, no. 4, pp. 507-515, April 1993, doi: .
Abstract: In this letter, we propose an algorithm to estimate the optical flow fields based on a hierarchical structure composed of spatio-temporal image pyramids obtained from repetitive application of the Gaussian filtering and decimation in both the spatial and temporal domain. In our approach, an inter-level motion smoothness constraint between adjacent pyramid levels is introduced to estimate a unique optical flow field. We show that the pyramid structure allows us to employ the multigrid algorithm, which is known to accelerate the convergence rate. The multigrid algorithm provides a scheme for efficient combination of local and global information to estimate the optical flow field. The experimental results reveal that the combination of local and global information yields a fast convergence behavior and accurate motion estimation results.
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_4_507/_p
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@ARTICLE{e76-d_4_507,
author={Shin Hwan HWANG, Sang Uk LEE, },
journal={IEICE TRANSACTIONS on Information},
title={An Optical Flow Estimation Algorithm Using the Spatio-Temporal Hierarchical Structure},
year={1993},
volume={E76-D},
number={4},
pages={507-515},
abstract={In this letter, we propose an algorithm to estimate the optical flow fields based on a hierarchical structure composed of spatio-temporal image pyramids obtained from repetitive application of the Gaussian filtering and decimation in both the spatial and temporal domain. In our approach, an inter-level motion smoothness constraint between adjacent pyramid levels is introduced to estimate a unique optical flow field. We show that the pyramid structure allows us to employ the multigrid algorithm, which is known to accelerate the convergence rate. The multigrid algorithm provides a scheme for efficient combination of local and global information to estimate the optical flow field. The experimental results reveal that the combination of local and global information yields a fast convergence behavior and accurate motion estimation results.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - An Optical Flow Estimation Algorithm Using the Spatio-Temporal Hierarchical Structure
T2 - IEICE TRANSACTIONS on Information
SP - 507
EP - 515
AU - Shin Hwan HWANG
AU - Sang Uk LEE
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 1993
AB - In this letter, we propose an algorithm to estimate the optical flow fields based on a hierarchical structure composed of spatio-temporal image pyramids obtained from repetitive application of the Gaussian filtering and decimation in both the spatial and temporal domain. In our approach, an inter-level motion smoothness constraint between adjacent pyramid levels is introduced to estimate a unique optical flow field. We show that the pyramid structure allows us to employ the multigrid algorithm, which is known to accelerate the convergence rate. The multigrid algorithm provides a scheme for efficient combination of local and global information to estimate the optical flow field. The experimental results reveal that the combination of local and global information yields a fast convergence behavior and accurate motion estimation results.
ER -
English
