Segmentation of moving objects by robust motion parameter estimation over multiple frames

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 801 LNCS, Issue , 1994, Pages 316-327

  Ayer, S ^a   Schroeter, P ^a   Bigun J ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; PARAMETER ESTIMATION;

ESTIMATION PROBLEM; MONOCULAR IMAGE SEQUENCE; MOTION PARAMETERS; MOTION SEGMENTATION; MULTIPLE MOVING OBJECTS; REAL IMAGE SEQUENCES; ROBUST REGRESSIONS; TIME INTEGRATION;

MOTION ESTIMATION;

EID: 85027413685     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0028364     Document Type: Conference Paper

References (17)

1. G Adiv. Determining three-dimensional motion and structure from optical flow generated by several moving objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7:384–401, July 1985.
2. S. Ayer and P. Schroeter. Hierarchical robust motion estimation for segmentation of moving objects. In Eigth IEEE Workshop on Image and Multidimensional Signal Processing, pages 122–123, Cannes, France, September 1993.
3. S. Ayer, P. Schroeter, and J. Bigün. Tracking based on hierarchical multiple motion estimation and robust regression. In Time-Varying Image Processing and Moving Object Recognition, 3, Florence, Italy, June 1993.
4. J.R. Bergen, P. Anandan, K.J. Hanna, and J. Hingorani. Hierarchical model-based motion estimation. In Second European Conference on Computer Vision, pages 237–252, Santa Margherita Ligure, Italy, May 1992.
5. M.J. Black. Combining intensity and motion for incremental segmentation and tracking over long image sequences. In Second European Conference on Computer Vision, pages 485–493, Santa Margherita Ligure, Italy, May 1992.
6. M.J. Black and P. Anandan. A framework for the robust estimation of optical flow. In Fourth International Conference on Computer Vision, pages 231–236, Berlin, Germany, May 1993.
7. T. Darrell and A. Pentland. Robust estimation of a multi-layered motion representation. In IEEE Workshop on Visual Motion, pages 173–178, Nassau Inn, Princeton, NJ, October 1991.
8. M.G. Hall, A.V. Oppenheim, and A.S. Willsky. Time-varying parametric modeling of speech. Signal Processing, 5:267–285, 1983.
9. M. Irani, B. Rousso, and S. Peleg. Detecting and tracking multiple moving objects using temporal integration. In Second European Conference on Computer Vision, pages 282–287, Santa Margherita Ligure, Italy, May 1992.
10. P. Meer, D. Mintz, A. Rosenfeld, and D.Y. Kim. Robust regression methods for computer vision: A review. International Journal of Computer Vision, 6(1):59–70, 1991.
11. A. Rognone, M. Campani, and A. Verri. Identifying multiple motions from optical flow. In Second European Conference on Computer Vision, pages 258–266, Santa Margherita Ligure, Italy, May 1992.
12. P.J. Rousseeuw and A.M. Leroy. Robust Regression and Outlier Detection. John Wiley and Sons, New York, 1987.
13. P. Schroeter and J. Bigün. Image segmentation by multidimensional clustering and boundary refinement with oriented filters. In Gretsi Fourteenth symposium, pages 663–666, Juan les Pins, France, Septembre 1993.
14. S.K. Sethi and R. Jain. Finding trajectories of feature points in a monocular image sequence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9:56–73, January 1987.
15. W.B Thompson. Combining motion and contrast for segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2:543–549, 1980.
16. W.B. Thompson, P. Lechleider, and E.R. Stuck. Detecting moving objects using the rigidity constraint. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:162–166, February 1993.
17. R. Wilson and M. Spann. Image Segmentation and Uncertainty. Research Studies Press Ltd., Letchworth, England, 1988.