Video segmentation by non-local consensus voting

BMVC 2014 - Proceedings of the British Machine Vision Conference 2014

Volumn , Issue , 2014, Pages

  Faktor, Alon ^a   Irani, Michal ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; GEOMETRICAL OPTICS; ITERATIVE METHODS; VIDEO RECORDING;

BACKGROUND SCENES; COMPUTATIONALLY EFFICIENT; FOREGROUND/BACKGROUND SEGMENTATION; ILLUMINATION CHANGES; QUANTITATIVE EXPERIMENTS; SEGMENTATION METHODS; STATE-OF-THE-ART METHODS; VIDEO SEGMENTATION;

IMAGE SEGMENTATION;

EID: 84919724784     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (38)

1. X. Bai, J. Wang, D. Simons, and G. Sapiro. Video snapcut: robust video object cutout using localized classifiers. In SIGGRAPH, 2009.
2. D. Banica, A. Agape, A. Ion, and C. Sminchisescu. Video object segmentation by salient segment chain composition. In ICCV, 2013.
3. W. Brendel and S. Todorovic. Video object segmentation by tracking regions. In ICCV, 2009.
4. T. Brox and J. Malik. Object segmentation by long term analysis of point trajectories. In ECCV, 2010.
5. S. Brutzer, B. Hoeferlin, and G. Heidemann. Evaluation of background subtraction techniques for video surveillance. In CVPR, 2011.
6. I. Budvytis, V. Badrinarayanan, and R. Cipolla. Mot-mixture of trees probabilistic graphical model for video segmentation. In BMVC, 2012.
7. I. Choi, M. Lee, and Y. W. Tai. Video matting using multi-frame nonlocal matting laplacian. In ECCV, 2012.
8. J. Costeira and T. Kanande. A multi-body factorization method for motion analysis. In ICCV, 1995.
9. A. Criminisi, G. Cross, A. Blake, and V. Kolmogorov. Bilayer segmentation of live video. In CVPR, 2006.
10. M. Van den Bergh, G. Roig, X. Boix, S. Manen, and L. Van Gool. Online video seeds for temporal window objectness. In ICCV, 2013.
11. P. Dollár and C. Zitnick. Structured forests for fast edge detection. In ICCV, 2013.
12. A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. In Proceedings of the IEEE, pages 1151-1163, 2002.
13. E. Elhamifar and R. Vidal. Sparse subspace clustering. In CVPR, 2009.
14. K. Fragkiadaki and J. Shi. Video segmentation by tracing discontinuities in a trajectory embedding. In CVPR, 2012.
15. M. Grundmann, V. Kwatra, M. Han, and I. Essa. Efficient hierarchical graph-based video segmentation. In CVPR, 2010.
16. E. Hayman and J. O. Eklundh. Statistical background subtraction for a mobile observer. In ICCV, 2003.
17. M. Irani and P. Anandan. A unified approach to moving object detection in 2d and 3d scenes. IEEE transactions on Pattern Analysis and Machine Intelligence, 20, 1998.
18. M. Irani, B. Rousso, and S. Peleg. Computing occluding and transparent motions. International Journal of Computer Vision, 12:5-16, 1994.
19. O. Kliper-Gross, T. Hassner, and L. Wolf. The action similarity labeling challenge. IEEE transactions on Pattern Analysis and Machine Intelligence, 34(3):615-621, 2012.
20. Y. J. Lee, J. Kim, and K. Grauman. Key-segments for video object segmentation. In ICCV, 2011.
21. F. Li, T. Kim, A. Humayun, D. Tsai, and J. Rehg. Video segmentation by tracking many figureground segments. In ICCV, 2013.
22. C. Liu. Beyond pixels: Exploring new representations and applications for motion analysis. In Doctoral Thesis. Massachusetts Institute of Technology, 2009.
23. T. Ma and L. J. Latecki. Maximum weight cliques with mutex constraints for video object segmentation. In CVPR, 2012.
24. R. Margolin, A. Tal, and L. Zelnik-Manor. What makes a patch distinct? In CVPR, 2013.
25. P. Ochs and T. Brox. Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions. In ICCV, 2011.
26. P. Ochs and T. Brox. Higher order motion models and spectral clustering. In CVPR, 2012.
27. A. Papazoglou and V. Ferrari. Fast object segmentation in unconstrained video. In ICCV, 2013.
28. B. L. Price, B. S. Morse, and S. Cohen. Livecut: Learningbased interactive video segmentation by evaluation of multiple propagated cues. In ICCV, 2009.
29. S. R. Rao, R. Tron, R.Vidal, and Y. Ma. Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories. In CVPR, 2008.
30. Y. Ren, C. S. Chua, and Y. K. Ho. Statistical background modeling for non-stationary camera. Pattern Recognition Letters, 24:183-196, 2003.
31. J. Shi and J.Malik. Motion segmentation and tracking using normalized cuts. In ICCV, 1998.
32. K. Soomro, A. R. Zamir, and M. Shah. Ucf 101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv: 1212.0402, 2012.
33. C. Stauffer and E. Grimson. Learning patterns of activity using realtime tracking. IEEE transactions on Pattern Analysis and Machine Intelligence, 22:747-757, 2001.
34. P. H. S. Torr and A. Zisserman. Concerning bayesian motion segmentation, model averaging, matching and the trifocal tensor. In ECCV, 1998.
35. D. Tsai, M. Flagg, and J. Rehg. Motion coherent tracking with multi-label mrf optimization. In BMVC, 2010.
36. A. Vazques-Reina, S. Avidan, H. Pfister, and E. Miller. Multiple hypothesis video segmentation from superpixel flows. In ECCV, 2010.
37. C. Yuan, G. Medioni, J. Kang, and I. Cohen. Detecting motion regions in the presence of a strong parallax from a moving camera by multiview geometric constraints. IEEE transactions on Pattern Analysis and Machine Intelligence, 29:1627-1641, 2007.
38. Dong Zhang, Omar Javed, and Mubarak Shah. Video object segmentation through spatially accurate and temporally dense extraction of primary object regions. In CVPR, 2013.