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Layered representation for motion analysis
Abstract
Standard approaches to motion analysis assume that the optic flow is smooth; such techniques have trouble dealing with occlusion boundaries. The image sequence can be decomposed into a set of overlapping layers, where each layer's motion is described by a smooth flow field. The discontinuities in the description are then attributed to object opacities rather than to the flow itself, mirroring the structure of the scene. A set of techniques is devised for segmenting images into coherently moving regions using affine motion analysis and clustering techniques. It is possible to decompose an image into a set of layers along with information about occlusion and depth ordering. The techniques are applied to a flower garden sequence. The scene can be analyzed into four layers, and, the entire 30-frame sequence can be represented with a single image of each layer, along with associated motion parameters.>
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Research works printed but not linked: 11
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Cited by
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740
A Database and Evaluation Methodology for Optical Flow
Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., & Szeliski, R. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-010-0390-2 · Cited by 2,205
“Most methods have focused on the use of parametric models that estimate motion in layers [34,77].”
MethodShade, J., Gortler, S., He, L.-W., & Szeliski, R. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280882 · Cited by 1,115
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Scharstein, D., Szeliski, R., & Zabih, R. (2002) · Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) · doi:10.1109/smbv.2001.988771 · Cited by 1,084
A Database and Evaluation Methodology for Optical Flow
Baker, S., Roth, S., Scharstein, D., Black, M. J., Lewis, J. P., & Szeliski, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408903 · Cited by 618
Metadata
- Authors
- Wang, J. Y. A., & Adelson, E. H.
- Venue
- Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-30
- Pages
- 361-366
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2131398766
- Cited by
- 273
- References
- 0
- FWCI
- 18.50
- Type
- conference paper
- Language
- en
- Open access
- closed
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