The problem of analyzing a sequence of images by taking into account the symbolic and numerical content of the signal is considered. An algorithm for segmentation and tracking of regions among images of a sequence is presented. The method is based on a Gibbs Markov random field (GMRF) model which couples the image process to a spatial-temporal region process. Optical flow field is used to adaptively decide the temporal clique to be used during annealing of energy. Displacement vectors of pixels belonging to recognized regions are predicted by using prior knowledge about object behavior.
A numerical and symbolic fusion method for interpretation of image sequence
REGAZZONI, CARLO
1991-01-01
Abstract
The problem of analyzing a sequence of images by taking into account the symbolic and numerical content of the signal is considered. An algorithm for segmentation and tracking of regions among images of a sequence is presented. The method is based on a Gibbs Markov random field (GMRF) model which couples the image process to a spatial-temporal region process. Optical flow field is used to adaptively decide the temporal clique to be used during annealing of energy. Displacement vectors of pixels belonging to recognized regions are predicted by using prior knowledge about object behavior.
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