Title :
Recursive image sequence segmentation by hierarchical models
Author :
Marques, F. ; Vera, V. ; Gasull, A.
Author_Institution :
Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain
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
Keywords :
image sequences; compound random fields; hierarchical models; morphological procedure; recursive image sequence segmentation; Delay; Face detection; Genetic expression; Image coding; Image generation; Image segmentation; Image sequences; Markov random fields;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576344
