Lluis Barceló

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In this paper, we introduce a new method to estimate a parametric description of the dominant motion existing in a video sequence, a key task needed to face more complex video analysis problems. In order to do so, we use motion data provided by the MPEG streams. We propose a method based on imaginary straight line tracking to retrieve the projective(More)
Dominant motion estimation in video sequence is a task that must be often be solved in Computer Vision problems but involves a high computational cost due to the overwhelming amount of data to be treated when working in image domain. In this paper we introduce a novel technique to perform motion analysis in video sequences taking advantage of the motion(More)
Dominant motion estimation in video sequence is a task that must be often be solved in Computer Vision problems but involves a high computational cost due to the overwhelming amount of data to be treated when working in image domain. In this paper we introduce a novel technique to perform motion analysis in video sequences taking advantage of the motion(More)
In this paper, we address the problem of multi-frame video registration using an appearance-based framework, where linear subspace constraints are applied in terms of the appearance subspace constancy assumption [3]. We frame the multiple-image registration in a two step iterative algorithm. First, a feature space is built through and Singular Value(More)
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