Title :
Spatio-temporal segmentation using 3D morphological tools
Author :
Vincent, Agnus ; Christian, Ronse ; Fabrice, Heitz
Abstract :
In this paper, we present a novel morphological approach to image simplification by flat zones which, applied to a temporal image sequence, leads to a method for spatio-temporal segmentation. Our approach considers a sequence as a single 3D image, rather than as a succession of 2D images. An extension of recent tools of 2D mathematical morphology, to the spatio-temporal (2D+t) volume, allows a fast detection of moving objects, a tracking of moving regions across time as well as a classification of motion
Keywords :
image classification; image morphing; image motion analysis; image segmentation; image sequences; tracking; 2D mathematical morphology; 2D+t volume; 3D image; 3D morphological tools; flat zones; image simplification; motion classification; spatio-temporal segmentation; spatio-temporal volume; temporal image sequence; Data mining; Filters; Image reconstruction; Image segmentation; Image sequences; Layout; Motion detection; Optical computing; Optical propagation; Tracking;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903683
