Extended Reeb Graphs for Surface Understanding and Description
DGCI '00 Proceedings of the 9th International Conference on Discrete Geometry for Computer Imagery
Spatio-Temporal Segmentation Using 3D Morphological Tools
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Morphological operators for image and video compression
IEEE Transactions on Image Processing
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In [1,2] we have introduced a new approach for the spatio-temporal segmentation of image sequences. Here a 2D+t sequence is considered as a 3D image, and 2D objects moving in time (or following a given motion model) are segmented as 3D objects with the use of connected morphological filters, and are represented as spatio-temporal flat zones. However when an object undergoes occlusion by another in the sequence, their 3D trajectories intersect, and the spatio-temporal segmentation will fuse the two objects into a single flat zone. In this paper we introduce a method for separating occluded objects in spatio-temporal segmentation. It is based on a study of the changes of topology of the temporal sections of a flat zone. A topologically constrained watershed algorithm allows to separate the objects involved in the occlusion.