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Proceedings Paper

Hierarchical method for the detection of moving objects in a sequence of images
Author(s): Wei Xiong; Christine Graffigne
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Paper Abstract

In this paper, a hierarchical version of the segmentation of motion with Markov field is used in order to detect moving objects in two successive images. We use the same hierarchical method which guarantees convergence for the initialization of the sequence of images and for the iterations between successive images. The model we present here is composed of two main parts, one is defined at label scale, meaning at the scale at which we want to estimate the final segmentation, and the other one on regions. These two terms are optimized alternatively, each of them by using relaxation method of type iterated conditional modes.

Paper Details

Date Published: 11 August 1995
PDF: 12 pages
Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); doi: 10.1117/12.216366
Show Author Affiliations
Wei Xiong, Univ. de Paris-Sud (France)
Christine Graffigne, Univ. de Paris V--Univ. de Rene Descartes (France)


Published in SPIE Proceedings Vol. 2568:
Neural, Morphological, and Stochastic Methods in Image and Signal Processing
Edward R. Dougherty; Francoise J. Preteux; Sylvia S. Shen, Editor(s)

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