Poursuite d'Objets Multirésolution par Pyramide Irrégulière

In the presented method, an irregular pyramid is used to segment the successive frames of an image sequence: a pyramid is built with the first image of the sequence, and then it is updated from image to image, using a split-and-merge process that takes into account the changes occurred between two successive frames. Thus, the same pyramid structure is used along the sequence, speeding up the process. Stability criteria allow to have the required compromise between speed and quality, i.e. to look for image evolution at a particular resolution. Thanks to the graph representation, objects obtained in a given image can be tracked along the rest of the sequence.

[1]  J.-P. Gambotto,et al.  A region-based spatio-temporal segmentation algorithm , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

[2]  Jean-Michel Jolion,et al.  The adaptive pyramid: A framework for 2D image analysis , 1991, CVGIP Image Underst..

[3]  Azriel Rosenfeld,et al.  Hierarchical Image Analysis Using Irregular Tessellations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Beatriz Marcotegui.  Segmentation de séquences d'images en vue du codage. (Segmentation of image sequences for coding) , 1996 .

[5]  Pascal Bertolino,et al.  Multiresolution segmentation using the irregular pyramid , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.