Simultaneous motion estimation and segmentation

IEEE Transactions on Image Processing

Volumn 6, Issue 9, 1997, Pages 1326-1333

  Chang, Michael M ^a   Tekalp, A Murat ^b   Sezan, M Ibrahim ^c  

^a HEWLETT PACKARD COMPANY   (United States)

^b UNIVERSITY OF ROCHESTER   (United States)

^c SHARP LABORATORIES OF AMERICA   (United States)

Author keywords

Bayesian methods; Motion estimation; Motion segmentation; Parametric motion models

Indexed keywords

ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OPTICAL FLOWS; OPTIMIZATION; PARAMETER ESTIMATION;

BAYESIAN METHODS; MOTION ESTIMATION;

IMAGE SEGMENTATION;

EID: 0031237801     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.623196     Document Type: Article

References (16)

1. B. K. P. Horn and B. G. Schunck, "Determining optical flow," Artif. Intell., vol. 17, pp. 185-203, 1981.
2. 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, 1986.
3. J. Konrad and E. Dubois, "Bayesian estimation of motion vector fields," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 910-927, Oct. 1992.
4. F. Heitz and P. Bouthemy, "Multimodal estimation of discontinuous optical flow using Markov random fields," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 1217-1232, Dec. 1993.
5. S.-L. Iu, "Robust estimation of motion vector field with discontinuity and occlusion using local outliers rejection," in Proc. Visual Communication and Image Processing, Boston, MA, Nov. 1993, pp. 588-599.
6. C. Stiller, "Object-oriented video coding employing dense motion fields," in Proc. IEEE ICASSP, Adelaide, Australia, Apr. 1994.
7. M. M. Chang, M. I. Sezan, and A. M. Tekalp, "An algorithm for simultaneous motion estimation and scene segmentation," in Proc. IEEE ICASSP, Adelaide, Australia, Apr. 1994.
8. M. Hoetter and R. Thoma, "Image segmentation based on object oriented mapping parameter estimation," Signal Process., vol. 15, pp. 315-334, 1988.
9. N. Diehl, "Object-oriented motion estimation and segmentation in image sequences," Signal Process.: Image Commun., vol. 3, pp. 23-56, Feb. 1991.
10. J. R. Bergen et al., "Dynamic multiple motion computation," in Artificial Intelligence and Computer Vision, Proc. Israeli Conf., Y. A. Feldman and A. Bruckstein, Eds. Amsterdam, The Netherlands: Elsevier, 1991, pp. 147-156.
11. J. Y. A. Wang and E. H. Adelson, "Representing moving images with layers," IEEE Trans. Image Processing, vol. 3, pp. 625-638, Sept. 1994.
12. 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, 1987.
13. S. Hsu, P. Anandan, and S. Peleg, "Accurate computation of optical flow by using layered motion representation," in Proc. Int. Conf. Pattern Recognition, 1994, pp. 743-746.
14. L. Cloutier, A. Mitiche, and P. Bouthemy, "Segmentation and estimation of image motion by a robust method," in Int. Conf. Image Processing, Austin, TX, Nov. 1994, pp. 805-809.
15. A. M. Tekalp, Digital Video Processing. Englewood Clliffs, NJ: Prentice-Hall, 1995.
16. P. B. Chou and C. M. Brown, "The theory and practice of Bayesian image labeling," Int. J. Comput. Vis., vol. 4, pp. 185-210, 1990.