Title :
A numerical and symbolic fusion method for interpretation of image sequence
Author :
Arduini, F. ; Cabri, R. ; Foresti, G.L. ; Murino, V. ; Regazzoni, C.S.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genova Univ., Italy
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
Keywords :
Markov processes; picture processing; Gibbs Markov random field; algorithm; displacement vectors; energy annealing; image process; image segmentation; image sequence interpretation; image tracking; numerical fusion method; optical flow field; spatial-temporal region process; symbolic fusion method; Adaptive optics; Annealing; Image analysis; Image motion analysis; Image processing; Image segmentation; Image sequences; Layout; Markov random fields; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150903
