Tracking and characterization of highly deformable cloud structures

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

Volumn 1843, Issue , 2000, Pages 428-442

  Papin, Christophe ^a   Bouthemy, Patrick ^a   Mémin, Etienne ^a   Rochard, Guy ^b  

^a CAMPUS DE BEAULIEU   (France)

^b MÉTÉO FRANCE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DEFORMATION; NUMERICAL METHODS;

CLOUD STRUCTURE; CONTRACTION FORCE; CONVECTIVE CLOUDS; DEFORMABLE STRUCTURES; LEVEL SET APPROACH; LOCAL MOTIONS; TEMPORAL VARIATION; TRACKING METHOD;

PRECIPITATION (METEOROLOGY);

EID: 84944074561     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45053-x_28     Document Type: Conference Paper

References (20)

1. Adler, R.F., Negri, A.J.: A satellite infrared technique to estimate tropical convective and stratiform rainfall. J. Appl. Meteor. 27 (1988) 30-51
2. Amadieu, O., Debreuve, E., Barlaud, M., Aubert, G.: Inward and outward curve evolution usinglev el set method. In Proc. of IEEE ICIP, Kobe, September (1999).
3. Arnaud, Y., Desbois, M., Maize, J.: Automatic trackingand characterization of convective systems on Meteosat pictures. J. Appl. Meteor. 1 (1992) 443-493
4. Blake, A., Isard, M.: Active contours. Springer (1998)
5. Brewer, M., Malladi, R., Pankiewicz, G., Conway, B., Tarassenko, L.: Methods for large scale segmentation of cloud images. In Proc. Meteorol. Satellite Data Users’ Conf., Bruxelles (1997) 131-138
6. Caselles, V., Coll, B.: Snakes in movement. SIAM J. Numer. Anal., 3(6) (1996) 2445-2456
7. Cohen, I., Herlin, I.: Tracking meteorological structures through curve(s) matching usingg eodesic paths. In Proc of 6th IEEE ICCV, Bombay, January (1998) 396-401
8. Corpetti, T., Mémin, E., Pérez, P.: EstimatingFluid Optical Flow. In Proc. of ICPR’2000, Barcelona, September (2000)
9. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. IJCV 1 (1988) 321-331
10. Kervrann, C., Heitz, F.: A hierarchical markov modelingapproac h for the segmentation and trackingof deformable shapes. Graphical Models and Image Processing 60 (1998) 173-195
11. Kimmel, R., Amir, A., Bruckstein, A.M.: Findingshortest paths on surfaces using level sets propagation. IEEE Trans. on PAMI 17(6) (1995) 635-640
12. Mansouri, A.R., Konrad, J.: Motion segmentation with level sets. In Proc of IEEE ICIP, Kobe, Japan, September (1999)
13. Mémin, E., Pérez, P.: A multigrid approach for hierarchical motion estimation. In Proc of 6th IEEE ICCV, Bombay, January (1998) 933-938
14. Osher, S., Sethian, J.A.: Fronts propagating with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulation. Journal of Computational Physics 79 (1988) 12-49
15. Paragios, N., Deriche, R.: Geodesic active regions for motion estimation and tracking. In Proc of IEEE ICCV, Kerkyra, Greece, September 1 (1999) 688-694
16. Sethian, J.A.: Level Set Methods. Cambridge University Press (1996)
17. Szeliski, R., Tonnesen, D.: Surface modelingwith oriented particle systems. Computer Graphics, SIGGRAPH, 26(2) (1992) 185-194
18. Vemuri, B.C., Guo, Y.: Snake pedals: Geometric models with physics-based control. In Proc of 6th IEEE ICCV, Bombay, January (1998) 427-432
19. Yahia, H.M., Berroir, J-P., Mazars, G.: Fast and robust level-set segmentation of deformable structures. In Proc. IEEE ICASSP, Seattle, May (1998)
20. Zhu, S.C., Yuille, A.: Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation. IEEE Trans. on PAMI 18 (1996) 884-900