Dense motion estimation using regularization constraints on local parametric models

IEEE Transactions on Image Processing

Volumn 13, Issue 11, 2004, Pages 1432-1443

  Patras, Ioannis ^a   Worring, Marcel ^b   van den Boomgaard, Rein ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Faculty of Sciences   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; IMAGE SEGMENTATION; ITERATIVE METHODS; MATHEMATICAL MODELS; OPTICAL FLOWS; OPTIMIZATION; PARAMETER ESTIMATION; REGRESSION ANALYSIS;

INTENSITY BASED SEGMENTATION; MOTION DISCONTINUITIES; REGULARIZATION CONSTRAINTS; ROBUST REGRESSION;

MOTION ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; MOTION; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; WALKING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOTION; MOVEMENT; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; USER-COMPUTER INTERFACE; WALKING;

EID: 7444249080     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.836179     Document Type: Article

References (29)

1. L. Alvarez, J. Weickert, and J. Sanchez, "Reliable estimation of dense optical flow fields with large displacements," Int. J. Comput. Vis., vol. 39, no. 1, pp. 41-56, Aug. 2000.
2. P. Anandan, "A computational framework and an algorithm for the measurement of visual motion," Int. J. Comput. Vis., vol. 2, pp. 283-310, 1989.
3. A. Bab-Hadiashar and D. Suter, "Robust optic flow computation," Int. J. Comput. Vis., vol. 29, no. 1, pp. 59-77, Aug. 1998.
4. M. Black, "Recursive on-linear estimation of discontinuous flow fields," in Proc. Eur. Conf. Computer Vision, Stockholm, Sweden, 1994, pp. 138-145.
5. M. Black and A. Jepson, "Estimation optical flow in segmented images using variable-order parametric models with local deformation," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 972-986, Oct. 1996.
6. M. J. Black and P. Anandan, "The robust estimation of multiple motions: Parametric and piecewise-smooth flow-fields," Comput. Vis. Image Understanding, vol. 63, no. 1, pp. 75-104, Jan. 1996.
7. M. J. Black and A. Rangarajan, "On the unification of line processes, outlier detection, and robust statistics with applications in early vision," Int. J. Comput. Vis., vol. 19, no. 1, pp. 57-91, Jan. 1996.
8. A. Blake and A. Zisserman, Visual Reconstruction. Cambridge, MA: MIT Press, 1987.
9. V. Dang, A. Mansouri, and J. Konrad, "Motion estimation for region-based video coding," in Proc. Int. Conf. Image Processing, Washington, DC, 1995, pp. 189-192.
10. L. Gaucher and G. Medioni, "Accurate motion flow estimation with discontinuities," in Int. J. Comput. Vis., Sept. 1999, pp. 695-702.
11. M. Gelgon and P. Bouthemy, "A region-level motion-based graph representation and labeling for tracking a spatial image partition," Pattern Recognit., vol. 33, pp. 725-740, Apr. 2000.
12. S. Geman and D. Geman, "Stochastic relaxation, gibbs distribution, and the bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Intell., vol. 6, pp. 721-741, Nov. PAMI-1984.
13. 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, Dec. 1993.
14. P. W. Holland and R. F. Welsch, "Robust regression using iteratively reweighted least squares," Commun. Stat. Theory Meth., 1977.
15. B. Horn and B. Schunck, "Determining optical flow," Artif. Intell., vol. 17, no. 1-3, pp. 185-203, Aug. 1981.
16. P. Huber, Robust Statistics. New York: Wiley, 1981.
17. M. Irani, R. Rousso, and S. Peleg, "Detecting and tracking multiple moving objects using temporal integration," ECCV, pp. 282-287, 1992.
18. E. Memin and P. Perez, "Hierarchical estimation and segmentation of dense motion fields," IJCV, vol. 46, no. 2, pp. 129-155, Feb. 2002.
19. D. W. Murray and B. F. Buxton, "Scene segmentation from visual motion using global optimization," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, pp. 220-228, Mar. 1987.
20. H. H. Nagel and W. Enkelmann, "An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences," IEEE Trans. Pattern Anal. Machine Intell., vol. 8, pp. 565-593, Sept. 1986.
21. J. M. Odobez and P. Bouthemy, "Robust multiresolution estimation of parametric motion models," J. Vis. Commun. Image Representation, vol. 6, no. 4, pp. 348-365, Dec. 1995.
22. E. P. Ong and M. Spann, "Robust optical flow computation based on least-median-of-squares regression," Int. J. Comput. Vis., vol. 31, pp. 51-82, Feb. 1999.
23. I. Patras, E. A. Hendriks, and R. L. Lagendijk, "Video segmentation by map labeling of watershed segments," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 3, pp. 326-332, Mar. 2001.
24. I. Patras and M. Worring, "Patch motion estimation," in Proc. Int. Conf. Pattern Recognition, vol. 1, Quebec City, QC, Canada, Aug. 2002, pp. 323-326.
25. C. Stiller, "Object-based estimation of dense motion fields," IEEE Trans. Image Processing, vol. 6, pp. 234-250, Feb. 1997.
26. C. Stiller and J. Konrad, "Estimating motion in image sequences: A tutorial on modeling and computation of 2d motion," IEEE Signal Processing Mag., vol. 16, pp. 70-91, July 1999.
27. R. Szeliski and J. Coughlan, "Spline-Base Image Registration," Digital Equipment Corporation, Tech. Rep. CRL 94/1, 1994.
28. R. Szeliski and H.-Y. Shum, "Motion estimation with quadtree splines," IEEE Trans. Pattern Anal. Mach. Intelligence, vol. 18, no. 12, pp. 1199-1210, Dec. 1996.
29. Y. Weiss and E. H. Adelson, "A unified mixture framework for motion segmentation: Incorporating spatial coherence and estimating the number of models," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 1996, pp. 321-326.