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    Chapter and Conference Paper

    3D Human Motion Sequences Synchronization Using Dense Matching Algorithm

    This work solves the problem of synchronizing pre-recorded human motion sequences, which show different speeds and accelerations, by using a novel dense matching algorithm. The approach is based on the dynamic...

    Mikhail Mozerov, Ignasi Rius, Xavier Roca, Jordi González in Pattern Recognition (2006)

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    Chapter and Conference Paper

    Posture Constraints for Bayesian Human Motion Tracking

    One of the most used techniques for full-body human tracking consists of estimating the probability of the parameters of a human body model over time by means of a particle filter. However, given the high-dime...

    Ignasi Rius, Javier Varona, Xavier Roca in Articulated Motion and Deformable Objects (2006)

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    Chapter and Conference Paper

    A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking

    In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is for predicting feasible human postures given...

    Ignasi Rius, Daniel Rowe, Jordi Gonzàlez in Pattern Recognition and Image Analysis (2005)

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    Chapter and Conference Paper

    Probabilistic Image-Based Tracking: Improving Particle Filtering

    Condensation is a widely-used tracking algorithm based on particle filters. Although some results have been achieved, it has several unpleasant behaviours. In this paper, we highlight the...

    Daniel Rowe, Ignasi Rius, Jordi Gonzàlez in Pattern Recognition and Image Analysis (2005)

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    Chapter and Conference Paper

    Multiple Model Approach to Deformable Shape Tracking

    This paper describes a new proposal for tracking deformable objects in video sequences using multiple shape models of heterogeneous dimensionality. This models are generated unsupervisedly from a training sequ...

    Daniel Ponsa, Xavier Roca in Pattern Recognition and Image Analysis (2003)

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    Chapter and Conference Paper

    Unsupervised Parameterisation of Gaussian Mixture Models

    In this paper we explain a new practical methodology to fully parameterise Gaussian Mixture Models (GMM) to describe data set distributions. Our approach analyses hierarchically a data set distribution to be m...

    Daniel Ponsa, Xavier Roca in Topics in Artificial Intelligence (2002)

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    Article

    A multidimensional scaling approach to explore the behavior of a texture perception algorithm

    This paper presents a methodology for behavior characterization of an algorithm in terms of the parametric description of input images. To develop the work we have selected an algorithm which implements a mode...

    Maria Vanrell, Jordi Vitrià, Xavier Roca in Machine Vision and Applications (1997)

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    Article

    Uranium accumulation by Pseudomonas sp. EPS-5028

    Pseudomonas sp. EPS-5028 was examined for the ability to accumulate uranium from solutions. The uptake of uranium by this microorganism is very rapid and is affected by pH but not by temperature, metabolic inhib...

    Ana M. Marqués, Xavier Roca in Applied Microbiology and Biotechnology (1991)

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