Dense estimation and object-based segmentation of the optical flow with robust techniques

IEEE Transactions on Image Processing

Volumn 7, Issue 5, 1998, Pages 703-719

  Mémin, Etienne ^a   Pérez, Patrick ^b  

^a UNIVERSITÉ DE BRETAGNE SUD   (France)

^b INRIA   (France)

Author keywords

Closed segmenting curve; Incremental multiresolution; Motion segmentation; Multigrid nonconvex minimization; Optical flow; Robust estimators

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; OBJECT RECOGNITION; OPTICAL FLOWS;

CLOSED SEGMENTING CURVES; INCREMENTAL MULTIRESOLUTION; MULTIGRID NONCONVEX MINIMIZATION;

IMAGE ANALYSIS;

EID: 0032073537     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.668027     Document Type: Article

References (41)

1. J. Barren, D. Fleet, and S. Beauchemin, "Performance of optical flow techniques," Int. J. Comput. Vis., vol. 12, pp. 43-77, 1994.
2. J. Bergen, P. Anandan, K. Hanna, and R. Hingorani, "Hierarchical model-based motion estimation," in Proc. Europ. Conf. Computer Vision, G. Sandini, Ed. Berlin, Germany: Springer-Verlag, 1992, pp. 237-252.
3. M. Black, "Robust incremental optical flow," Ph.D. dissertation, Yale Univ., New Haven, CT, 1992.
4. _, "Recursive nonlinear estimation of discontinuous flow fields," in Proc. Europ. Conf. Computer Vision, Stockholm, Sweden, 1994, pp. 138-145.
5. M. Black and P. Anandan, "Robust incremental optical flow," in Proc. Conf. Computer Vision and Pattern Recognition, J. O. Eklundh, Ed. Berlin, Germany: Springer-Verlag, 1992, pp. 296-302.
6. _, "The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields," Comput. Vis. Image Understand., vol. 63, pp. 75-104, 1996.
7. M. Black and P. Jepson, "Estimating optical flow in segmented images using variable-order parametric models with local deformations," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 972-986, 1996.
8. M. Black and A. Rangarajan, "On the unification of line processes, outlier rejection, and robust statistics with applications in early vision," Int. J. Comput. Vis., vol. 19, pp. 75-104, 1996.
9. A. Blake, R. Curwen, and A. Zisserman, "A framework for spatiotemporal control in the tracking of visual contours," Int. J. Comput. Vis., vol. 11, pp. 127-145, 1993.
10. A. Blake and A. Zisserman, Visual Reconstruction. Cambridge, MA: MIT Press, 1987.
11. L. Blanc-Féraud, M. Barlaud, and T. Gaidon, "Motion estimation involving discontinuities in a multiresolution scheme," Opt. Eng., vol. 32, pp. 1475-1482, July 1993.
12. P. Bouthemy and E. Francois, "Motion segmentation and qualitative dynamic scene analysis from an image sequence," Int. J. Comput. Vis., vol. 10, pp. 157-182, 1993.
13. P. Charbonnier, L. Blanc-Féraud, G. Aubert, and M. Barlaud, "Deterministic edge-preserving regularization in computed imaging," IEEE Trans. Image Processing, vol. 6, pp. 298-311, 1997.
14. I. Cohen and I. Herlin, "Optical flow and phase portrait methods for environmental satellite image sequences," in Proc. Europ. Conf. Computer Vision, Cambridge, U.K., Apr. 1996, pp. 141-150.
15. R. Deriche, P. Kornprobst, and G. Aubert, "Optical flow estimation while preserving its discontinuities: A variational approach," in Proc. Asian Conf. Computer Vision, Singapore, Dec. 1995, vol. 1, pp. 290-295.
16. W. Enkelmann, "Investigation of multigrid algorithms for the estimation of optical flow fields in image sequences," Comput. Vis. Graph. Image Process., vol. 43, pp. 150-177, 1988.
17. K. Fujimura, N. Yokoya, and K. Yamamoto, "Motion tracking of deformable objects by active contour models using multiscale dynamic programming," J. Vis. Commun. Image Represent., vol. 4, pp. 382-391, 1993.
18. D. Geman and G. Reynolds, "Constrained restoration and the recovery of discontinuities," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, no. 3, pp. 367-383, 1992.
19. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images, "IEEE Trans. Pattern Anal. Machine Intell., vol. 6, pp. 721-741, 1984.
20. S. Geman and D. McClure, "Statistical methods for tomographic image reconstruction," in Bull. ISI, Proc. 46th Session Int. Statistical Institute, vol. 52, 1987.
21. U. Grenander, General Pattern Theory. Oxford, U.K.: Oxford Univ. Press, 1993.
22. F. Heitz and P. Bouthemy, "Multimodal estimation of discontinuous optical flow using Markov random fields," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 1217-1232, 1993.
23. F. Heitz, P. Pérez, and P. Bouthemy, "Multiscale minimization of global energy functions in some visual recovery problems," CVGIP: Image Understand., vol. 59, pp. 125-134, 1994.
24. P. Holland and R. Welsch, "Robust regression using iteratively reweighted least-squares," Commun. Stat. Theoret. Meth., vol. A6, pp. 813-827, 1977.
25. P. Huber, Robust Statistics. New York: Wiley, 1981.
26. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vis., vol. 1, pp. 321-331, 1988.
27. C. Kervrann and F. Heitz, "A hierarchical statistical framework for the segmentation of deformable objects in image sequences," in Proc. Computer Vision and Pattern Recognition, Seattle, WA, June 1994, pp. 724-728.
28. J. Konrad and E. Dubois, "Bayesian estimation of motion vector fields," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 910-927, 1992.
29. Y. Leclerc, "Constructing simple stable descriptions for image partitioning," Int. J. Comput. Vis., vol. 3, pp. 73-102, 1989.
30. F. Leymarie and M. Levine, "Tracking deformable objects in the plane using an active contour model," IEEE Trans. Pattern Anal Machine Intell., vol. 15, pp. 617-634, 1993.
31. E. Mémin, F. Heitz, and F. Charot, "Efficient parallel nonlinear multigrid relaxation algorithms for low-level vision applications," J. Parallel Distr. Comput., vol. 29, pp. 96-103, 1995.
32. P. Nesi, "Variational approach to optical flow estimation managing discontinuities," Image Vis. Comput., vol. 11, pp. 419-439, 1993.
33. P. Pérez and B. Gidas, "Motion segmentation and tracking using deformable templates," in Proc. Int. Conf. Image Processing, Austin, TX, Nov. 1994.
34. P. Piscaglia et al., "Parallelized robust multiresolution motion estimation," in Proc. Int. Conf. Image Processing, Lausanne, Switzerland, Sept. 1996.
35. P. Proesmans, L. Van Gool, E. Pauwels, and A. Oosterlinck, "Determination of optical flow and its discontinuities using nonlinear diffusion," in Proc. Europ. Conf. Computer Vision, Stockholm, Sweden, 1994, vol. 2, pp. 295-304.
36. C. Schnörr, "Computation of discontinuous optical flow by domain decomposition and shape optimization," Int. J. Comput. Vis., vol. 8, no. 2, pp. 153-165, 1992.
37. C. Schnörr and W. Peckard, "Motion-based identification of deformable templates," in Proc. Int. Conf. Computer Analysis of Images and Patterns, V. Hlavac and R. Sara, Eds. Prague, Czech Republic, Sept. 1995.
38. C. Stiller, "Object-based estimation of dense motion fields," IEEE Trans. Image Processing, vol. 6, pp. 234-250, 1997.
39. R. Szeliski and J. Coughlan, "Spline-based image registration," Tech. Rep. CRL 94/1, Digital Equipment Corp., Apr. 1994.
40. R. Szeliski and H.-Y. Shum, "Motion estimation with quadtree splines," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 1199-1210, 1996.
41. J. Zhang and G. Hanauer, "The application of mean field theory to image motion estimation," IEEE Trans. Image Processing, vol. 4, pp. 19-33, 1995.