Temporal Factorization vs. Spatial Factorization

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

Volumn 3022, Issue , 2004, Pages 434-445

  Zelnik Manor, Lihi ^a   Irani, Michal ^b  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

DUAL APPROACH; FACTORIZATION APPROACH; MULTI-BODY; RANDOM MOTIONS; SECOND GROUP; SPATIAL CLUSTERING; SUBSPACE BASED; TEMPORAL CLUSTERING;

FACTORIZATION;

EID: 35048820618     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24671-8_34     Document Type: Article

References (20)

1. S. Birchfield. Kit: An implementation of the kanade-lucas-tomasi feature tracker. http://robotics.stanford.edu/~birch/klt/.
2. M. J. Black. Dense optical flow: robust regularization. http://www.cs.brown.edu/people/black/.
3. M. J. Black and P. Anandan. A framework for the robust estimation of optical flow. In International Conference on Computer Vision, pages 231-236, Berlin, Germany, 1993.
4. M. J. Black and P. Anandan. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding, 63(1):75-104, Jan. 1996.
5. C. Bregler, A. Hertzmann, and H. Biermann. Recovering non-rigid 3d shape from image streams. In IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 690-696, 2000.
6. J. Costeira and T. Kanade. A multi-body factorization method for motion analysis. In International Conference on Computer Vision, pages 1071-1076, Cambridge, MA, June 1995.
7. C.W. Gear. Multibody grouping from motion images. International Journal of Computer Vision, 2(29):133-150, 1998.
8. M. Irani. Multi-frame correspondence estimation using subspace constraints. International Journal of Computer Vision, 48(3):173-194, July 2002.
9. K. Kanatani. Motion segmentation by subspace separation and model selection. In International Conference on Computer Vision, volume 1, pages 301-306, Vancouver, Canada, 2001.
10. B.D. Lucas and T. Kanade. An itérative image registration technique with an application to stereo vision. In Image Understanding Workshop, pages 121-130, 1981.
11. M. Machline, L. Zelnik-Manor, and M. Irani. Multi-body segmentation: Revisiting motion consistency. In Workshop on Vision and Modelling of Dynamic Scenes (With ECCV'02), Copenhagen, June 2002.
12. A. Nagasaka and Y. Tanaka. Automatic video indexing and full-video search for object appearances. In Visual Databas Systems II, IFIP, 1992.
13. A. Ng, M. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In In Advances in Neural Information Processing Systems 14, 2001.
14. C. Rao and M. Shah. Motion segmentation by subspace separation and model selection. In International Conference on Computer Vision, volume 1, pages 301-306, Vancouver, Canada, 2001.
15. Y. Rui and P. Anandan. Segmenting visual actions based on spatio-temporal motion patterns. In IEEE Conference on Computer Vision and Pattern Recognition, June 2000.
16. S. Swanberg, D.F. Shu, and R. Jain. Knowledge guided parsing in video databases. In SPIE, 1993.
17. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: A factorization method. International Journal of Computer Vision, 9:137-154, November 1992.
18. Y. Weiss. Segmentation using eigenvectors: A unifying view. In International Conference on Computer Vision, pages 975-982, Corfu, Greece, September 1999.
19. L. Zelnik-Manor and M. Irani. Event-based video analysis. In IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, 2001.
20. H. Zhang, A. Kankanhali, and W. Smoliar. Automatic partitioning of full-motion video. In Multimedia Systems, 1993.