Motion recovery from image sequences using First-order optical flow information
- 10 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 132-139
- https://doi.org/10.1109/wvm.1991.212778
Abstract
A closed-form solution for motion estimation from first-order flow in two 'distinct' image regions is described. Uniqueness is guaranteed when these correspond to surface patches with different normal vectors. given an image sequence, the authors show how the image many be segmented into regions with the necessary properties, optical flow is computed for these regions, and motion parameters are computed. The method can be applied to arbitrary scenes and camera motion. The authors explain why it is more robust than other techniques that require the knowledge of the full flow or information up to the second-order terms of it. Experimental results are presented to support the theoretical derivations.<>Keywords
This publication has 18 references indexed in Scilit:
- A Biomimetic VLSI Sensor for Visual Tracking of Small Moving TargetsIEEE Transactions on Circuits and Systems I: Regular Papers, 2004
- Shape and motion without depthPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Kalman filter-based algorithms for estimating depth from image sequencesInternational Journal of Computer Vision, 1989
- Active visionInternational Journal of Computer Vision, 1988
- Determining Motion Parameters for Scenes with Translation and RotationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Processing translational motion sequencesComputer Vision, Graphics, and Image Processing, 1983
- Rigid body motion from depth and optical flowComputer Vision, Graphics, and Image Processing, 1983
- Direct Computation of the Focus of ExpansionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- Determining optical flowArtificial Intelligence, 1981
- The interpretation of a moving retinal imageProceedings of the Royal Society of London. B. Biological Sciences, 1980