Optical-flow based on an edge-avoidance procedure

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 1253-1256

  Jodoin, Pierre Marc ^a   Mignotte, Max ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Image motion analysis

Indexed keywords

EDGE PRESERVING; ESTIMATION PROBLEM; FLOW BASED; IMAGE MOTION ANALYSIS; IMAGE SEQUENCE; INTEGRATION WINDOW; LEAST SQUARES; LOCAL MOTIONS; LUCAS-KANADE; MEAN SHIFT ALGORITHM; MOTION DISCONTINUITIES; MULTI-MODAL; NON-PARAMETRIC; OPTICAL FLOW METHODS; SHARP EDGES;

ALGORITHMS; IMAGING SYSTEMS; MOTION ESTIMATION; OPTICAL FLOWS;

OPTICAL DATA PROCESSING;

EID: 77951135607     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312553     Document Type: Conference Paper

References (21)

1. Mitiche A. and Bouthemy P., "Computation and analysis of image motion: a synopsis of current problems and methods," Int. J. Comput. Vision, vol. 19, no. 1, pp. 29-55, 1996. (Pubitemid 126713880)
2. Nagel H-H, "Image sequence evaluation: 30 years and still going strong.," in proc. of ICPR, 2000, pp. 1149-1158.
3. Barron J., Fleet D., and Beauchemin S., "Performance of optical flow techniques," Int. J. Comput. Vision, vol. 12, no. 1, pp. 43-77, 1994.
4. Fleet D. and Jepson A., "Computation of component image velocity from local phase information," Int. J. Comput. Vision, vol. 5, no. 1, 1990.
5. Langer M. and Mann R., "Optical snow," Int. J. Comput. Vision, vol. 55, no. 1, pp. 55-71, 2003.
6. Singh A., "An estimation-theoretic framework for image-flow computation," in Proc. of ICCV, 1990, pp. 168-177.
7. Anandan P., "A computation framework and an algorithm for the measurement of visual motion," Int. J. Comp. Vis., vol. 2, pp. 219-232, 1989.
8. A. Singh, "Incremental estimation of image flow using a kalman filter," J. Vis. Commun. Image Represent., vol. 3, pp. 39-57, 1992.
9. Mémin E. and Pérez P., "Hierarchical estimation and segmentation of dense motion fields," Int. Journal of Computer Vision, vol. 46, no. 2, pp. 129-155, 2002. (Pubitemid 34143941)
10. Heitz F. and Bouthemy P., "Multimodal estimation of discontinuous optical flow using markov random fields," IEEE Trans. Pattern Anal. Mach. Intell., vol. 15, no. 12, pp. 1217-1232, 1993.
11. Konrad J. and Dubois E., "Bayesian estimation of motion vector fields," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 9, pp. 910-927, 1992. (Pubitemid 23562566)
12. Horn B. and Schunck B., "Determining optical flow," Al, vol. 17, pp. 185-203, 1981.
13. Lucas B. and Kanade T., "An iterative image registration technique with an application to stereo vision (darpa)," in Proc. of DARPA Image Unders. Workshop, 1981, pp. 121-130.
14. Nagel H., "On the estimation of optical flow relations between different approaches and some new results," Artif Intell., vol. 33, no. 3, pp. 298-324, 1987.
15. Aubert G., Deriche R., and Kornprobst P., "Computing optical flow via variational techniques," SIAM Journal on Applied Mathematics, vol. 60, no. 1, 1999.
16. Comaniciu D., "Nonparametric information fusion for motion estimation.," in Proc. of CVPR, 2003, pp. 59-68.
17. A. Bruhn, J. Weickert, and C. Schnörr, "Lucas/kanade meets horn/schunck: Combining local and global optic flow methods," vol. 61, no. 3, pp. 211-231, 2005.
18. Black M. and Anandan P., "The robust estimation of multiple motions: parametric and piecewise-smooth flow fields," Comput. Vis. Image Underst., vol. 63, no. 1, pp. 75-104, 1996.
19. Comaniciu D. and Meer P., "Mean shift analysis and applications," in Proc. of ICCV, 1999, pp. 1197-1203.
20. Simoncelli E., Adelson E., and Heeger D., "Probability distributions of optical flow," in Proc. of CVPR., 1991, pp. 310-315.
21. Trucco E. and Verri A., Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998.