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Gambini, J.; Rozichner, D.; Buemi, M.E.; Mejail, M.; Berllés, J.J. "Occlusion handling for object tracking using a fast level set method" (2008) 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008:61-68
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Abstract:

Tracking objects in image sequences is a difficult problem because of the frequent occlusions encountered among the objects and people. In this paper, a method for tracking objects through occlusions based on a level set technique, is presented. Two cases are considered: 1-the object is obstructed by another one of a different color. 2-the object is obstructed by another one of the same color. In the first case, the classical algorithms based on active contours fail to track the object's contour because the curve disappears from the scene. In this proposal, occlusion is detected and the solution is based on keeping the curve in the same place until the object of interest appears in the scene again. In the second case, the classic algorithms based on active contours do not distinguish between two image objects of the same color, so due to the possible changes in the topology, the curve fits the edge of both objects and it is divided. We solve this problem by means of localizing the centroid of the curve. The experimental results show that these methods significantly improve the tracking with occlusions. © 2008 IEEE.

Registro:

Documento: Conferencia
Título:Occlusion handling for object tracking using a fast level set method
Autor:Gambini, J.; Rozichner, D.; Buemi, M.E.; Mejail, M.; Berllés, J.J.
Ciudad:Campo Grande
Filiación:Departamento de Computación, Facultad de Ciencias Exactas y Naturales, UBA, Buenos Aires, Argentina
Palabras clave:Color; Color image processing; Computational geometry; Computer graphics; Curve fitting; Digital image storage; Image processing; Imaging systems; Level measurement; Optical properties; Active contours; Classic algorithms; Classical algorithms; Curve fits; Fast level set methods; Image objects; Image sequences; Level set techniques; Object of interests; Object tracking; Occlusion handlings; Tracking objects; Edge detection
Año:2008
Página de inicio:61
Página de fin:68
DOI: http://dx.doi.org/10.1109/SIBGRAPI.2008.36
Título revista:21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008
Título revista abreviado:Proc. - Brazilian Symp. Comp. Graph. Image Process., SIBGRAPI
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97807695_v_n_p61_Gambini

Referencias:

  • Chan, T., Vese, L., Active Contours without Edges (2001) IEEE Trans. Image Processing, 10 (2), pp. 265-277
  • Chang, T., Gong, S., Ong, E., Tracking multiple people under occlusion using multiple cameras (2000) British Machine Vision Conference, , September
  • Cohen, L.D., On active contour models and balloons (1991) Computer Vision, Graphics, and Image Processing. Image Understanding, 53 (2), pp. 211-218
  • Cohen, L.D., Cohen, I., Finite-element methods for active contour models and balloons for 2-d and 3-d images (1993) IEEE Trans. Pattern Anal. Mach. Intell, 15 (11), pp. 1131-1147
  • Dockstader, S.L., Tekalp, A.M., Multiple camera fusion for multi-object tracking (2001) WOMOT '01: Proceedings of the IEEE Workshop on Multi-Object Tracking (WOMOT'01), p. 95. , Washington, DC, USA, IEEE Computer Society
  • Dumitras, A., Venetsanopoulos, A., A comparative study of snake models with applicationsto object shape description in bi-level and grey-level images (2001) EURASIP, Workshop on non-linear Sgnal and Image Processing, , IEEE
  • Kass, M., Withkin, A., Terzopoulos, D., Snakes: Active contour model (1988) International Journal of Computer Vision, 1 (0), pp. 321-333. , Mar
  • Khan, S., Shah, M., Tracking people in presence of occlusion (2000) Asian Conference on Computer Vision, , Taipei, Taiwan, January
  • Malladi, R., Sethian, J.A., Vemuri, B.C., Shape modeling with front propagation: A level set approach (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (2), pp. 158-175
  • Malladi, R., Sethian, J.A., Vemuri, B.C., A fast level set based algorithm for topology-independent shape modeling (1996) J. Math. Imaging and Vision, 6 (2-3), pp. 269-290
  • McInerney, T., Terzopoulos, D., Medical image segmentation using topologically adaptable snakes (1995) CVRMed, pp. 92-101
  • Osher, S., Sethian, J., Fronts propagating with curvature-dependent speed: Algorithms based on hamilton-jacobi formulations (1988) Journal of Computational Phisics, 79, pp. 12-49
  • Perona, P., Malik, J., Scale-space and edge detection using anisotropic diffusion (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 (7), pp. 629-639
  • Senior, A., Hampapur, A., Tian, Y., Brown, L., Pankanti, S., Bolle, R., Appearance models for occlusion handling (2006) IVC, 24 (11), pp. 1233-1243. , November
  • Sethian, J., (1998) Fast marching methods and level set methods for propagating interfaces von karman insitute lecture series
  • Sethian, J., (1999) Level Set Methods and Fast Marching Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Sciences, , Cambridge University Press, Cambridge
  • Shi, Y., Karl, W., A fast level set method without solving pdes (2005) Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on, 2, pp. 97-100. , March 18-23
  • Shi, Y., Karl, W., Real-time tracking using level sets (2005) Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2, pp. 34-41. , 2, 20-25 June
  • Weickert, J., (1998) Anisotropic Diffusion in Image Processing, , Teubner-Verlag, first edition
  • Xu, C., Prince, J.L., Gradient vector flow: A new external force for snakes (1997) CVPR, p. 66
  • Yilmaz, A., Li, X., Shah, M., Object contour tracking using level sets (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence, 26 (11), pp. 1531-1536
  • Zhao, J., Yao, D., Occlusion adaptative object tracking based on video image and radar data (2006) International Conference on ITS Telecomunications Proceedings, pp. 943-946. , Chegdu, China, June
  • Zhu, S.C., Yuille, A., Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation (1996) Pattern Analysis and Machine Intelligence, IEEE Transactions on, 18 (9), pp. 884-900. , SeptA4 - Universide Catolica Dom Bosco (UCDB); Fundacao Universidade Federal de Mato Grosso do Sul; PETROBRAS (BR); UNISINOS; Sociedade Brasileira de Computacio

Citas:

---------- APA ----------
Gambini, J., Rozichner, D., Buemi, M.E., Mejail, M. & Berllés, J.J. (2008) . Occlusion handling for object tracking using a fast level set method. 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008, 61-68.
http://dx.doi.org/10.1109/SIBGRAPI.2008.36
---------- CHICAGO ----------
Gambini, J., Rozichner, D., Buemi, M.E., Mejail, M., Berllés, J.J. "Occlusion handling for object tracking using a fast level set method" . 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008 (2008) : 61-68.
http://dx.doi.org/10.1109/SIBGRAPI.2008.36
---------- MLA ----------
Gambini, J., Rozichner, D., Buemi, M.E., Mejail, M., Berllés, J.J. "Occlusion handling for object tracking using a fast level set method" . 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008, 2008, pp. 61-68.
http://dx.doi.org/10.1109/SIBGRAPI.2008.36
---------- VANCOUVER ----------
Gambini, J., Rozichner, D., Buemi, M.E., Mejail, M., Berllés, J.J. Occlusion handling for object tracking using a fast level set method. Proc. - Brazilian Symp. Comp. Graph. Image Process., SIBGRAPI. 2008:61-68.
http://dx.doi.org/10.1109/SIBGRAPI.2008.36