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This paper describes a novel approach for rigid object segmentation from a dynamic background using a pre-recorded video with a moving camera, and we apply it to the problem of vessel segmentation in a maritime video scene. The difficulty of modeling background appearance or/and dynamic, modeling object appearance, and compensating camera motion renders this task very challenging. Therefore, the proposed...
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov random field (MRF) model of the document. Depending on the available information, the model parameters (clique potentials) are learned from training data or computed using heuristics. The observation model is estimated thanks to an expectation maximization (EM) algorithm...
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