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Embedding Motion in Model-Based Stochastic Tracking

Publications associées (88)

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Embedding motion in model-based stochastic tracking

Daniel Gatica-Perez, Jean-Marc Odobez

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

2004

Un modèle factoriel dynamique pour séries temporelles

Andrei Zenide

This work deals with factorial models for multiple time series. Its core content puts it at the interface between statistics and finance. After a brief description of the historical link between the two sciences, it reviews the literature on factorial mode ...

EPFL2004

Finite length analysis of LT codes

Mohammad Amin Shokrollahi

This paper provides an efficient method for analyzing the error probability of the belief propagation (BP) decoder applied to LT Codes. Each output symbol is generated independently by sampling from a distribution and adding the input symbols corresponding ...

2004

3D Tracking for Gait Characterization and Recognition

Pascal Fua, Raquel Urtasun

We propose an approach to gait analysis that relies on fitting 3--D temporal motion models to synchronized video sequences. These models allow us not only to track but also to recover motion parameters that can be used to recognize people and characterize ...

2004

3D human body tracking using deterministic temporal motion models

Pascal Fua, Raquel Urtasun

There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and seek to avoid becoming trapped into local minima by considering multiple hypotheses, whi ...

Springer2004

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Pascal Fua, Raquel Urtasun, Lorna Herda

To increase the reliability of existing human motion tracking algorithms, we propose a method for imposing limits on the underlying hierarchical joint structures in a way that is true to life. Unlike most existing approaches, we explicitly represent depend ...

2004

Post-processing of scanned 3D surface data

Mark Pauly

3D shape acquisition has become a major tool for creating digital 3D surface data in a variety of application elds. Despite the steady increase in accuracy, most available scanning techniques cause severe scanning artifacts such as noise, outliers, holes, ...

Eurographics Association2004

Sampling method reconstruction method and devices for sampling and/or reconstructing multidimensional signals

Martin Vetterli, Irena Maravic, Pier Luigi Dragotti

Reconstruction method and devices for two-dimensional signals that are not bandlimited but have a parametric representation with a finite number of degrees of freedom. The signal is reconstructed from the samples obtained after a suitable filtering with a ...

2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filters are now established as the most popular method for visual tracking. Within this framework, it is generally assumed that the data are temporally independent given the sequence of object states. In this paper, we argue that in general the da ...

IDIAP2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Springer Verlag2003