Tracking video objects using active contours

Proceedings - Workshop on Motion and Video Computing, MOTION 2002

Volumn , Issue , 2002, Pages 90-95

  Castaud, M ^a   Barlaud, M ^a   Aubert, G ^b  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b UNIVERSITÉ DE NICE SOPHIA ANTIPOLIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; MOTION COMPENSATION;

ACTIVE CONTOURS; DESCRIPTORS; EVOLUTION EQUATIONS; REGION-BASED; TRACKING ALGORITHM; VIDEO OBJECTS;

IMAGE SEGMENTATION;

EID: 84964344426     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MOTION.2002.1182219     Document Type: Conference Paper

References (23)

1. G. Aubert, M. Barlaud, O. Faugeras, and S. Jehan-Besson. Image segmentation using active contours: calculus of variations or shape gradients? Technical Report 2002-18-FR, I3S-CNRS, Sophia Antipolis, 2002. and INRIA.
2. G. Aubert and P. Kornprobst. Mathematical problems in image processing. Partial differential equations and the calculus of variations. Number 147. Applied Mathematical Sciences, Springer Verlag, 2001.
3. M. J. Black. Combining intensity and motion for incremental segmentation and tracking over long image sequences. In ECCV, Santa Margherita, Italy, 1992.
4. V. Caselles, R. Kimmel, and G. Sapiro. Geodesic active contours. IJCV, 22(1):61-79, 1997.
5. A. Chakraborty, L. Staib, and J. Duncan. Deformable boundary finding in medical images by integrating gradient and region information. IEEE Transactions on Medical Imaging, 15:859-870, 1996.
6. T. Chan and L. Vese. An active contour model without edges. In Scale-Space Theories in Computer Vision, Corfu Greece, 1999.
7. P. Charbonnier, L. Blanc-Féraud, G. Aubert, and M. Barlaud. Deterministic edge-preserving regularization in computed imaging. TIP, 6(2):298-311, 1997.
8. L. Cohen. On active contour models and balloons. Computer Vision, Graphics and Image Processing : Image Understanding, 53:211-218, 1991.
9. M. Delfour and J. Zolesio. Shapes and geometries. Advances in Design and Control. SIAM, 2001.
10. S. Jehan-Besson, M. Barlaud, and G. Aubert. Video object segmentation using eulerian region-based active contours. In ICCV, Vancouver, 2001.
11. S. Jehan-Besson, M. Barlaud, and G. Aubert. Dreams: Deformable regions driven by an eulerian accurate minimization method for image and video segmentation. Accept IJCV, 2002.
12. S. Jehan-Besson, M. Barlaud, and G. Aubert. Dreams: Deformable regions driven by an eulerian accurate minimization method for image and video segmentation. application to face detection in color video sequences. In ECCV, Copenhagen, Denmark, 2002.
13. M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. IJCV, 1:321-332, 1988.
14. M. Leventon, E. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contour. In CVPR, 2000.
15. F. Leymarie and D. Levine. Tracking deformable objects in the plane using an active contour model. In PAMI, volume 15, pages 617-634, 1993.
16. S. Osher and J. Sethian. Fronts propagating with curvature-dependent speed: Algorithms based on hamilton-jacobi formulation. JCP, 79:12-49, 1988.
17. N. Paragios and R. Deriche. Geodesic active regions for motion estimation and tracking. In ICCV, Corfu Greece, 1999.
18. S. Pateux. Tracking of video objects using a backward projection technique. In VCIP, Perth, Australia, 2000.
19. R. Ronfard. Region-based strategies for active contour models. IJCV, 13(2):229-251, 1994.
20. S. Soatto and A. Yezzi. Deformotion. deforming motion, shape average and the joint registration and segmentation of images. In ECCV, Copenhagen, 2002.
21. S. Valette, I. Magnin, and R. Prost. Active mesh for video segmentation and objects tracking. In ICIP, volume 2, pages 77-80, Thessaloniki, Greece, 2001.
22. H.-K. Zhao, S. Osher, B. Merriman, and M. Kang. Implicit and non-parametric shape reconstruction from unorganized data using a variational level set method. In Computer Vision and Image Understanding, volume 80, 2000.
23. S. Zhu and A. Yuille. Region competition: unifying snakes, region growing, and bayes/MDL for multiband image segmentation. PAMI, 18:884-900, 1996.