Tracking deformable moving objects under severe occlusions

Proceedings of the IEEE Conference on Decision and Control

Volumn 3, Issue , 2004, Pages 2990-2995

  Jackson, Jeremy D ^a   Yezzi, Anthony J ^a   Soatto, Stefano ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONSTRAINT THEORY; DEFORMATION; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; PROBLEM SOLVING;

DISCRETIZATION; FINITE-DIMENSIONAL GROUP; NONLINEAR MODEL; RE-PARAMETERIZATION;

OBJECT RECOGNITION;

EID: 14244261982     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/cdc.2004.1428922     Document Type: Conference Paper

References (31)

1. D. Alspach and H. Sorenson. Nonlinear bayesian estimation using gaussian sum approximations. IEEE Trans. on Automatic Control, 17:439-448, 1972.
2. R. Azencott, F. Coldefy, and L. Younes. A distance for elastic matching in object recognition. Proc. 13th Intl. Conf. on Patt. Recog, 1:687-691, 1996.
3. Y. Bar-Shalom and T. E. Fortmann. Tracking and Data Association. Academic Press, 1987.
4. M. J. Black. Eigentracking: robust matching and tracking of articulated objects. 1996.
5. A. Blake and R. Brockett. On snakes and estimation theory. Submitted to the invited session on "Dynamic Vision" at the 33 Conf. on Decision and Control, 1994.
6. A. Blake and M. Isard. Active contours. Springer Verlag, 1998.
7. C. Bregler. Learning and recognizing human dynamics in video sequences. In Proc. of the Conference on Computer Vision and Pattern Recognition, pages 568-574, 1997.
8. V. Caselles, R. Kimmel, G. Sapiro, "Geodesic active contours," Proceedings of the ICCV, 1995.
9. T. Chan and L. Vese. An active contours model without edges. In Int. Conf. Scale-Space Theories in Computer Vision, pages 141-151, 1999.
10. U. Grenander. General Pattern Theory. Oxford University Press, 1993.
11. C. Rasmussen and G. Hager. Probabilistic Data Association Methods for Tracking Complex Visual Objects IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:560-576, 2001.
12. A.H. Jazwinski. Stochastic Processes and Filtering Theory. Academic Press, 1970.
13. H. Khalil, Nonlinear Systems, MacMillan Publ. House, N.J, 1992
14. S. Kichenassamy, A. Kumar, P. Olver, A. Tannenbaum, and A. Yezzi, "Gradient flows and geometric active contours," Proceedings of ICCV, Cambridge, MA., June 1995.
15. B. Kimia, A. Tannebaum, and S. Zucker. Shapes, shocks, and deformations i: the components of two-dimensional shape and the reaction-diffusion space. Int'l J. Computer Vision, 15:189-224, 1995.
16. R. Kimmel and A. Bruckstein. Tracking level sets by level sets: a method for solving the shape from shading problem. Computer Vision, Graphics and Image Understanding, (62)1:47-58, 1995.
17. R. Kimmel, N. Kiryati, and A. M. Bruckstein. Multivalued distance maps for motion planning on surfaces with moving obstacles. IEEE Trans. Robot. & Autom., 14(3):427-435, 1998.
18. M. Leventon, E. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contours, 2000.
19. Y. Ma, S. Soatto, J. Kosecka, and S. Sastry. An invitation to 3D vision, from images to models. Springer Verlag, 2003.
20. M. I. Miller and L. Younes. Group action, diffeomorphism and matching: a general framework. In Proc. of SCTV, 1999.
21. M. Moelich and T. Chan. Tracking objects with the Chan-Vese model. UCLA CAM Report 3-14, March 2003.
22. Mumford D., Shah J.: Optimal approximations by piecewise smooth functions and associated variational problems. In Commun. Pure Appl. Math (1989), vol. 42, no.4, pages 577-684, 1989.
23. S. Osher and J. Sethian. Fronts propagating with curvature-dependent speed: algorithms based on hamilton-jacobi equations. J. of Comp. Physics, 79:12-49, 1988.
24. N. Paragios and R. Deriche. Geodesic active contours and level sets for the detection and tracking of moving objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(3):266-280, 2000.
25. C. Samson, L. Blanc-Feraud, G. Aubert, and J. Zerubia. A level set model for image classification. In in International Conference on Scale-Space Theories in Computer Vision, pages 306-317, 1999.
26. M. Kass, A. Witkin, and D. Terzopoulosi. Snakes: active contour models. In First International Conference on Computer Vision, pp. 259-268, 1987.
27. G. Unal, A. Yezzi, and H. Krim, "A Vertex-based Representation of Objects in an Image," Proc. of Int. Conf. Image Processing, vol. 1, September 2002, pp. 896-899.
28. G. Unal, A. Yezzi, and H. Krim, "Active Polygons for Object Tracking," First International Symposium 3D Data Processing, Visualization, Transmission, Padova, Italy, June 2002.
29. A. Yezzi and S. Soatto. Deformotion: deforming motion, shape average and the joint segmentation and registration of images. Intl. J. of Comp. Vis., 53(2): 153-167, 2003.
30. L. Younes. Computable elastic distances between shapes. SIAM J. of Appl. Math., 1998.
31. A. Yuille. Deformable templates for face recognition. J. of Cognitive Neurosci., 3(1):59-70, 1991.