Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 1878-1885

  Unger, Markus ^a,b   Werlberger, Manuel ^a   Pock, Thomas ^a   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b Vexcel Imaging   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSICAL MOTION; COMPLEX SCENES; CONVEX CONSTRAINTS; MOTION SEGMENTS; MULTI-LABEL; OBJECT BOUNDARIES; OCCLUSION HANDLING; PARAMETRIC REPRESENTATIONS; PRIMAL DUAL ALGORITHMS; VARIATIONAL FORMULATION;

COMPUTER VISION;

MOTION ESTIMATION;

EID: 84866675418     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247887     Document Type: Conference Paper

References (29)

1. S. Baker, D. Scharstein, J. Lewis, S. Roth, M. Black, and R. Szeliski. A database and evaluation methodology for optical flow. IJCV, pages 1-31, 2010. 6, 7
2. M. Bleyer, C. Rother, and P. Kohli. Surface stereo with soft segmentation. In CVPR, pages 1570 -1577, 2010. 2
3. M. Bleyer, C. Rother, P. Kohli, D. Scharstein, and S. Sinha. Object Stereo - Joint Stereo Matching and Object Segmentation. In CVPR, pages 3081-3088, 2011. 2
4. X. Bresson, S. Esedoglu, P. Vandergheynst, J. Thiran, and S. Osher. Global Minimizers of The Active Contour/Snake Model. In Free Boundary Problems Theory and Applications, 2005. 4
5. T. Brox, A. Bruhn, N. Papenberg, and J. Weickert. High accuracy optical flow estimation based on a theory for warping. In ECCV, pages 25-36, 2004. 2
6. A. Chambolle and T. Pock. A first-order primal-dual algorithm for convex problems with applications to imaging. Journal of Mathematical Imaging and Vision, 2010. 2, 5
7. D. Cremers. A variational framework for image segmentation combining motion estimation and shape regularization. In CVPR, volume 1, pages 53-58, 2003. 2
8. D. Cremers and S. Soatto. Motion competition: A variational approach to piecewise parametric motion segmentation. IJCV, 62:249-265, 2005. 2
9. B. K. P. Horn and B. G. Schunck. Determining optical flow. Art. Intell., 1981. 1
10. H. Ishikawa. Exact optimization for markov random fields with convex priors. TPAMI, 25(10):1333 - 1336, 2003. 2
11. V. Kolmogorov and R. Zabih. Computing Visual Correspondence with Occlusions via Graph Cuts. In ICCV, pages 508- 515, 2001. 2
12. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Learning layered motion segmentations of video. IJCV, 76(3):301-319, 2008. 2
13. C. Nieuwenhuis, B. Berkels, M. Rumpf, and D. Cremers. Interactive Motion Segmentation. In DAGM, pages 483-492, 2010. 2
14. A. S. Ogale, C. Fermüller, and Y. Aloimonos. Motion segmentation using occlusions. TPAMI, 27(6):988-992, 2005. 2
15. T. Pock, A. Chambolle, D. Cremers, and H. Bischof. A convex relaxation approach for computing minimal partitions. In CVPR, 2009. 2
16. R. B. Potts. Some Generalized Order-Disorder Transformation. In Transformations, Proceedings of the Cambridge Philosophical Society, volume 48, pages 106-109, 1952. 2
17. A. V. Reina, S. Avidan, H. Pfister, and E. L. Miller. Multiple hypothesis video segmentation from superpixel flows. In ECCV, volume 6315, pages 268-281. Springer, 2010. 2
18. L. I. Rudin, S. Osher, and E. Fatemi. Nonlinear total variation based noise removal algorithms. Physica D: Nonlinear Phenomena, 60(1-4):259 - 268, 1992. 7
19. T. Schoenemann and D. Cremers. Near real-time motion segmentation using graph cuts. In Pattern Recognition, volume 4174 of LNCS, pages 455-464. Springer, 2006. 2
20. T. Schoenemann and D. Cremers. High resolution motion layer decomposition using dual-space graph cuts. In CVPR, Anchorage, Alaska, 2008. 2
21. D. Sun, E. Sudderth, and M. Black. Layered image motion with explicit occlusions, temporal consistency, and depth ordering. In Advances in Neural Information Processing Systems 23, pages 2226-2234. 2010. 2, 6
22. J. Wang and E. Adelson. Representing moving images with layers. IEEE Transactions on Image Processing, 3(5):625 -638, 1994. 2
23. M. Werlberger, W. Trobin, T. Pock, A. Wedel, D. Cremers, and H. Bischof. Anisotropic Huber-L1 optical flow. In BMVC, London, UK, 2009. 2, 6, 7
24. O. Woodford, P. Torr, I. Reid, and A. Fitzgibbon. Global stereo reconstruction under second-order smoothness priors. TPAMI, 31:2115-2128, 2009. 2
25. J. Yuan and Y. Boykov. Tv-based multi-label image segmentation with label cost prior. In BMVC, pages 101.1-101.12. BMVA Press, 2010. 2, 3, 5
26. C. Zach, D. Gallup, J. michael Frahm, and M. Niethammer. Fast global labeling for real-time stereo using multiple plane sweeps. In Vision, Modeling and Visualization Workshop, pages 243-252, 2008. 4
27. C. Zach, T. Pock, and H. Bischof. A duality based approach for realtime TV-L1 optical flow. In DAGM, 2007. 2
28. G. Zhang, J. Jia, W. Hua, and H. Bao. Robust bilayer segmentation and motion/depth estimation with a handheld camera. TPAMI, 33:603-617, 2011. 2
29. C. L. Zitnick, N. Jojic, and S. B. Kang. Consistent segmentation for optical flow estimation. In ICCV, pages II: 1308- 1315, 2005. 2