Multi-body factorization with uncertainty: Revisiting motion consistency

International Journal of Computer Vision

Volumn 68, Issue 1, 2006, Pages 27-41

  Zelnik Manor, Lihi ^a   Machline, Moshe ^b   Irani, Michal ^b  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

Dense segmentation; Directional uncertainty; Multi body factorization

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; IMAGE SEGMENTATION; MOTION ESTIMATION; VIDEO SIGNAL PROCESSING;

BRIGHTNESS MEASUREMENTS; DENSE SEGMENTATION; DIRECTIONAL UNCERTAINTY; MOTION CONSISTENCY; MULTI-BODY FACTORIZATION; VIDEO SEQUENCE;

MATHEMATICAL TECHNIQUES;

EID: 33646552675     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-005-4840-1     Document Type: Conference Paper

References (18)

1. Anandan, P. and Irani, M. 2002. Factorization with uncertainty. International Journal of Computer Vision, 49(2-3): 101-116.
2. Ayer, S. and Sawhney, H. 1995. Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding. In International Conference on Computer Vision, pp. 777-784.
3. Boult, T.E. and Brown, L.G. 1991. Factorization-based segmentation of motions. In Proc. of the IEEE Workshop on Motion Understanding, pp. 179-186.
4. Brand, M. 2001. Morphable 3D models from video. IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, vol. II, pp. 456-463.
5. Bregler, C., Hertzmann, A., and Biermann, H. 2000. Recovering non-rigid 3D shape from image streams. In IEEE Conference on Computer Vision and Pattern Recognition, South-Carolina, vol. II, pp. 690-696.
6. Costeira, J. and Kanade, T. 1995. A multi-body factorization method for motion analysis. In International Conference on Computer Vision, Cambridge, MA, pp. 1071-1076.
7. Gear, C.W. 1998. Multibody grouping from motion images. International Journal of Computer Vision, 2(29): 133-150.
8. Ichimura, N. 2000. A robust and efficient motion segmentation based on orthogonal projection matrix of shape space. In IEEE Conference on Computer Vision and Pattern Recognition, South-Carolina, Vol. II, pp. 446-452.
9. Irani, M. 2002. Multi-frame correspondence estimation using sub-space constraints. International Journal of Computer Vision, 48(3): 173-194.
10. Irani, M., Rousso, B., and Peleg, S. 1992. Detecting and tracking multiple moving objects using temporal integration. In European Conference on Computer Vision, Santa Margarita Ligure, pp. 282-287.
11. Kanatani, K. 2001. Motion segmentation by subspace separation and model selection. In International Conference on Computer Vision, Vancouver, Canada, vol. 1, pp. 301-306.
12. Lucas, B.D. and Kanade, T. 1981. An iterative image registration technique with an application to stereo vision. In Image Understanding Workshop, pp. 121-130.
13. Machline, M. Zelnik-Manor, L., and Irani, M. 2002. Multi-body segmentation: Revisiting motion consistency. In Workshop on Vision and Modeling of Dynamic Scene.
14. Morris, D.D. and Kanade, T. 1998. A unified factorization algorithm for points, line segments and planes with uncertainty models. In International Conference on Computer Vision, Bombay, India, pp. 696-702.
15. Ton, P.H.S. 1998. Geometric motion segmentation and model selection. In Philosophical Transactions of the Royal Society A, J. Lasenby, A. Zisserman, R. Cipolla, and H. Longuet-Higgins, (eds.), Roy. Soc., pp. 1321-1340.
16. Ton, P.H.S. and Zisserman, A. 1998. Concerning Bayesian motion segmentation, model averaging, matching and the trifocal tensor. In European Conference on Computer Vision, pp. 511-527.
17. Tortesani, L., Yang, D.B., Alexander E.J., and Bregler, C. 2001. Tracking and modeling non-rigid objects with rank constraints. In IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, vol. I, pp. 493-500.
18. Wang, J. and Adelson, E. 1993. Layered representation tor motion analysis. In IEEE Conference on Computer Vision and Pattern Recognition, New York, pp. 361-366.