Raúl Montoliu

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In this paper, a new framework to discover places-of-interest from multimodal mobile phone data is presented. Mobile phones have been used as sensors to obtain location information from users' real lives. Two levels of clustering are used to obtain places of interest. First, user location points are grouped using a time-based clustering technique which(More)
In this paper, a new framework to discover places-of-interest from multimodal mobile phone data is presented. Mobile phones have been used as sensors to obtain location information from users’ real lives. A place-of-interest is defined as a location where the user usually goes and stays for a while. Two levels of clustering are used to obtain places of(More)
It is well-known that image pixel values of an object could vary if the lighting conditions change. Some common factors that produce changes in the pixels values are due to the viewing and the illumination direction, the surface orientation and the type of surface. For the last years, different works have addressed that problem, proposing invariant(More)
In this paper, a novel methodology is proposed to predict the semantic meaning of a set of places extracted from location data. A selection of relevant feature families is proposed on the basis of the information collected from users’ mobiles phone, whereas the multiclass classificacion problem is addressed by a set of smart binary classifiers. Three(More)
The estimation of parametric global motion had a significant attention during the last two decades, but despite the great efforts invested, there are still open issues. The most important ones are related to the accuracy of the estimation and to the ability to recover large deformation between images. In this paper, a new generalized least squares-based(More)
This article presents a new framework for the motion segmentation and estimation task on sequences of two gray images without a priori information of the number of moving regions present in the sequence. The proposed algorithm uses temporal information, by using an accurate Generalized Least-Squares motion estimation process, and spatial information, by(More)