15th International Conference on Pattern Recognition (ICPR'00) - Volume 3 Spatio-Temporal Segmentation Using 3D Morphological Tools Barcelona, Spain September 03-September 08 ISBN: 0-7695-0750-6
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 3-dimensional 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.
Citation:
Agnus Vincent, Ronse Christian, Heitz Fabrice, "Spatio-Temporal Segmentation Using 3D Morphological Tools," icpr, vol. 3, pp.3885, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||