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

fYear

1991

fDate

14-17 Apr 1991

Firstpage

2477

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150903

Filename

150903