Robust optical flow computation based on least-median-of-squares regression

International Journal of Computer Vision

Volumn 31, Issue 1, 1999, Pages 51-82

  Ong, E P ^a   Spann, M ^b  

^a INSTITUTE OF MICROELECTRONICS   (Singapore)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER GRAPHICS; IMAGE ANALYSIS; IMAGE QUALITY; OPTICAL FLOWS; REGRESSION ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS);

LEAST-MEDIAN-OF-SQUARES (LMEDS) REGRESSION; MOTION DISCONTINUITY DETECTION;

COMPUTER VISION;

EID: 0033076931     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008046826441     Document Type: Article

References (33)

1. Anandan, P. 1989. A computational framework and an algorithm for the measurement of visual motion. International Journal of Computer Vision, 2:282-310.
2. Barnard, S.T. and Thompson, W.B. 1980. Disparity analysis of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2:333-340.
3. Barron, J.L., Fleet, D.J., and Beauchemin, S.S. 1994. Performance of optical flow techniques. International Journal of Computer Vision, 1:43-77.
4. Bigun, J., Granlund, G.H., and Wiklund, J. 1991. Multidimensional orientation estimation with applications in texture analysis and optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13:775-790.
5. Black, M.J. and Anandan, P. 1996. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding, 63:75-104.
6. Black, M.J. and Rangarajan, A. 1996. On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. International Journal of Computer Vision, 19:57-91.
7. Bober, M. and Kittler, J. 1994. Robust motion analysis. In Proceedings of Computer Vision and Pattern Recognition, pp. 947-952.
8. Campani, M. and Verri, A. 1992. Motion analysis from first-order properties of optical flow. CVGIP: Image Understanding, 56:90-107.
9. Darrell, T. and Pentland, A.P. 1995. Cooperative robust estimation using layers of support. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:474-487.
10. Draper, N.R. and Smith, H. 1981. Applied Regression Analysis. 2nd edition, John Wiley & Sons: New York.
11. Fennema, C.L. and Thompson, W.B. 1979. Velocity determination in scenes containing several moving objects. Computer Graphics and Image Processing, 9:301-315.
12. Fleet, D.J. and Jepson, A.D. 1992. Computation of component image velocity from local phase information. International Journal of Computer Vision, 5:77-104.
13. Heitz, F. and Bouthemy, P. 1990. Multimodal motion estimation and segmentation using Markov random fields. In Proceedings of 10th International Conference on Computer Vision, pp. 378-382.
14. Heitz, F. and Bouthemy, P. 1993. Multimodal estimation of discontinuous optical flow using Markov random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:1217-1232.
15. Horn, B.K.P. 1986. Robot Vision. MIT Press: Cambridge.
16. Horn, B.K.P. and Schunck, B.G. 1981. Determining optical flow. Artificial Intelligence, 17:185-203.
17. Huang, Y., Palaniappan, K., Zhuang, X., and Cavanaugh, J.E. 1995. Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:1177-1190.
18. Konrad, J. and Dubois, E. 1992. Bayesian estimation motion vector fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:910-927.
19. Lin, T. and Barren, J.L. 1994. Image reconstruction error for optical flow. In Proc. Vision Interface, pp. 73-80.
20. Lucas, B. and Kanade, T. 1981. An iterative image registration technique with an application to stereo vision. In Proceedings of 7th International Joint Conference on Artificial Intelligence, pp. 674-679.
21. Meyer, F.G. and Bouthemy, P. 1994. Region-based tracking using affine motion models in long range image sequences. CVGIP Image Understanding, 60:119-140.
22. Murray, D.W. and Buxton, B.F. 1987. Scene segmentation from visual motion using global optimisation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9:220-228.
23. Negahdaripour, S. and Lee, S. 1992. Motion recovery from image sequences using only first order optical flow information. International Journal of Computer Vision, 9:163-184.
24. Odobez, J.M. and Bouthemy, P. 1994a. Robust multiresolution estimation of parametric motion models in complex image sequences. In Proceedings of 7th European Conference on Signal Processing, 1994.
25. Odobez, J.M. and Bouthemy, P. 1994b. Robust multiresolution estimation of parametric motion models applied to complex scenes. IRISA, France, Technical Report No. 788.
26. Ong, E.P. and Spann, M. 1995. Robust computation of optical flow. In Proc. 5th British Machine Vision Conference, Birmingham, UK, pp. 573-582.
27. Ong, E.P. and Spann, M. 1996. Robust multiresolution computation of optical flow. In Proc. IEEE International Conference on Accoustic, Speech, and Signal Processing, Atlanta, USA, pp. 1939-1942.
28. Otte, M. and Nagel, H.H. 1994. Optical flow estimation: Advances and comparisons. In Proc. 3rd European Conference on Computer Vision, pp. 51-60.
29. Rousseeuw, P.J. and Leroy, A.M. 1987. Robust Regression and Outlier Detection. John Wiley & Sons: New York.
30. Schunck, B.G. 1989. Image flow segmentation and estimation by constraint line clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11:1010-1027.
31. Torr, P.H.S., Beardsley, P.A., and Murray, D.W. 1994. Robust vision. In Proc. British Machine Vision Conference, vol. 2, pp. 145-154.
32. Weber, J. and Malik, J. 1995. Robust computation of optical flow in a multiscale differential framework. International Journal of Computer Vision, 14:67-81.
33. Zhang, J. and Hanauer, G.G. 1995. The application of mean field theory to image motion estimation. IEEE Transactions on Image Processing, 4:19-33.