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Recursive image sequence segmentation by hierarchical models

Author
Marques, F.; VERA, V.; Gasull, A.
Type of activity
Presentation of work at congresses
Name of edition
2th International Conference on Pattern Recognition
Date of publication
1994
Presentation's date
1994-10
Book of congress proceedings
ICPR 1994: 12th International Conference on Pattern Recognition: Jerusalem, Israel: October 9-13, 1994
First page
523
Last page
525
Publisher
. IEEE COMPUTER SOCIETY PRESS.
DOI
https://doi.org/10.1109/ICPR.1994.576344 Open in new window
Repository
http://hdl.handle.net/2117/101725 Open in new window
URL
http://ieeexplore.ieee.org/document/576344/ Open in new window
Abstract
This paper addresses the problem of image sequence segmentation. A technique using a sequence model based on compound random fields is presented. This technique is recursive in the sense that frames are processed in the same cadency as they are produced. New regions appearing in the sequence are detected by a morphological procedure.
Citation
Marques, F., VERA, V., Gasull, A. Recursive image sequence segmentation by hierarchical models. A: International Conference on Pattern Recognition. "?". . IEEE COMPUTER SOCIETY PRESS., 1994, p. 523-525.
Keywords
Image sequences
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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