In [1,2] we have introduced a new approach for the spatiotemporal 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.
CITATION STYLE
Agnus, V., & Ronse, C. (2002). Topological reconstruction of occluded objects in video sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2301, pp. 155–164). Springer Verlag. https://doi.org/10.1007/3-540-45986-3_14
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