The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Performance of optical flow techniques
Abstract
The performance of six optical flow techniques is compared, emphasizing measurement accuracy. The most accurate methods are found to be the local differential approaches, where nu is computed explicitly in terms of a locally constant or linear model. Techniques using global smoothness constraints appear to produce visually attractive flow fields, but in general seem to be accurate enough for qualitative use only and insufficient as precursors to the computations of egomotion and 3D structures. It is found that some form of confidence measure/threshold is crucial for all techniques in order to separate the inaccurate from the accurate. Drawbacks of the six techniques are discussed.>
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Self-citationOptical flow using spatiotemporal filters
Heeger, D. J. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133568 · Cited by 534
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Performance of optical flow techniques
Barron, J. L., Fleet, D. J., & Beauchemin, S. S. (1994) · International Journal of Computer Vision · doi:10.1007/bf01420984 · Cited by 4,305
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Thirion, J.-P. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(98)80022-4 · Cited by 2,445
A Database and Evaluation Methodology for Optical Flow
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Recent developments in human motion analysis
Wang, L., Hu, W., & Tan, T. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00100-0 · Cited by 962
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Seshadrinathan, K., & Bovik, A. C. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2034992 · Cited by 708
Metadata
- Authors
- Barron, J. L., Fleet, D. J., Beauchemin, S. S., & Burkitt, T. A.
- Venue
- Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2003-01-02
- Pages
- 236-242
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2146203184
- Cited by
- 743
- References
- 5
- FWCI
- 29.86
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Barron, J. L., Fleet, D. J., Beauchemin, S. S., & Burkitt, T. A. (2003). Performance of optical flow techniques. Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.1992.223269
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