Causal graph-based video segmentation
Résumé
Among the different methods producing superpixel segmentations of an image, the graph-based approach of Felzen-szwalb and Huttenlocher is broadly employed. One of its interesting properties is that the regions are computed in a greedy manner in quasi-linear time by using a minimum spanning tree. The algorithm may be trivially extended to video segmentation by considering a video as a 3D volume, however, this can not be the case for causal segmentation, when subsequent frames are unknown. In a framework exploiting minimum spanning trees all along, we propose an efficient video segmentation approach that computes temporally consistent pixels in a causal manner, filling the need for causal and real time applications.
Domaines
Traitement des images [eess.IV]Origine | Fichiers produits par l'(les) auteur(s) |
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