Time-varying finite dimensional basis for tracking contour deformations

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2006, Pages 1665-1672

  Vaswani, Namrata ^a   Yezzi, Anthony ^b   Rathi, Yogesh ^b   Tannenbaum, Allen ^b  

^a IOWA STATE UNIVERSITY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DEFORMATION; IMAGE ANALYSIS; MOTION ESTIMATION; PARAMETER ESTIMATION; PARTICLE SIZE;

CONTOUR TRACKING; LARGE DIMENSIONAL PROBLEMS; TIME-VARYING FINITE DIMENSIONAL;

CONTOUR MEASUREMENT;

EID: 39649088423     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/cdc.2006.376972     Document Type: Conference Paper

References (28)

1. N.J. Gordon, D.J. Salmond, and A.F.M. Smith, "Novel approach to nonlinear/nongaussian bayesian state estimation," IEE Proceedings-F (Radar and Signal Processing), pp. 140(2): 107-113, 1993.
2. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking," IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 174-188, Feb. 2002.
3. A. Doucet, N. deFreitas, and N. Gordon, Eds., Sequential Monte Carlo Methods in Practice, Springer, 2001.
4. G. Sapiro, Geometric Partial Differential Equations and Image Processing, Cambridge University Press, January 2001.
5. B. Georgescu, X. S. Zhou, D. Comaniciu, and B. Rao, "Real-time multi-model tracking of myocardium in echocardiography using robust information fusion," in Intl. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2004.
6. W Sun, M. Cetin, R. Chan, V Reddy, G. Holmvang, V. Chandar, and A. Willsky, "Segmenting and tracking the left ventricle by learning the dynamics in cardiac images," MIT Technical Report 2642, Feb 2005.
7. R.W. Brockett and A. Blake, "Estimating the shape of a moving contour," in IEEE Conf. Decision and Control (CDC), 1994.
8. A.Blake, M.Isard, and D.Reynard, "Learning to track curves in motion," in IEEE Conf. Decision and Control (CDC), 1994.
9. D. Terzopoulos and R. Szeliski, Active Vision, chapter Tracking with Kalman Snakes, pp. 3-20, MIT Press, 1992.
10. N. Peterfreund, "Robust tracking of position and velocity with Kalman snakes," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 6, pp. 564-569, 1999.
11. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: active contour models," Int. Journal of Computer Vision, vol. 1, pp. 321-331, 1987.
12. M. Isard and A. Blake, "Condensation: Conditional Density Propagation for Visual Tracking," Intl. Journal of Comp. Vision, pp. 5-28, 1998.
13. J. Jackson, A. Yezzi, and S. Soatto, "Tracking deformable moving objects under severe occlusions," in IEEE Conf. Decision and Control (CDC), 2004.
14. M. Niethammer and A. Tannenbaum, "Dynamic level sets for visual tracking," in IEEE Conf. Decision and Control (CDC), 2004.
15. J. A. Sethian, Level Set Methods and Fast Marching Methods, Cambridge University Press, 2nd edition, 1999.
16. S. Osher and R. Fedkiw, Level Set Methods and Dynamic Implicit Surfaces, Springer Verlag, 2003.
17. N.Vaswani, A.Yezzi, Y.Rathi, and A.Tannenbaum, "Particle filters for infinite (or large) dimensional state spaces-part 1," in IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2006.
18. Y. Rathi, N. Vaswani, A. Tannenbaum, and A. Yezzi, "Particle filtering for geometric active contours and application to tracking deforming objects," in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.
19. N.Vaswani, "Particle filters for infinite (or large) dimensional state spaces-part 2," in IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2006.
20. N. Vaswani, Y. Rathi, A. Yezzi, and A. Tannenbaum, "Pf-mt (particle filter with mode tracker) for tracking contour deformations," Submitted, 2006.
21. O.Juan, R.Keriven, and G.Postelnicu, "Stochastic mean curvature motion in computer vision: Stochastic active contours," in VLSM, 2004.
22. T. Sehn, F. Gustafsson, and P.J. Nordlund, "Marginalized particle filters for nonlinear state-space models," IEEE Trans. Sig. Proc., 2005.
23. A.Yezzi and A.Mennucci, "Conformal metrics and true "gradient flows" for curves.," in IEEE Intl. Conf. on Computer Vision (ICCV), 2005.
24. David F. Rogers and J. Alan Adams, Mathematical Elements for Computer Graphics, WCB/McGraw-Hill, 1990.
25. T. Chan and L. Vese, "Active contours without edges," IEEE Trans. Image Processing, vol. 10, no. 2, pp. 266-277, 2001.
26. A. Doucet, "On sequential monte carlo sampling methods for bayesian filtering," in Technical Report CUED/F-INFENG/TR. 310, Cambridge University Department of Engineering, 1998.
27. G. Casella and R. Berger, Statistical Inference, Duxbury Thomson Learning, second edition, 2002.
28. M. Leventon, E. Grimson, and Olivier Faugeras, "Statistical shape influence in geodesic active contours," in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). IEEE, 2000, pp. 1316-1324.