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General state-space models

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Tracking Atoms with Particles for Audio-visual Source Localization

Pierre Vandergheynst, Andrea Cavallaro, Gianluca Monaci, Emilio Maggio

We present a general framework and an efficient algorithm for tracking relevant video structures. The structures to be tracked are implicitly defined by a Matching Pursuit procedure that extracts and ranks the most important image contours. Based on the ra ...

2007

Feature point tracking combining the Interacting Multiple Model filter and an efficient assignment algorithm

Touradj Ebrahimi, Yousri Abdeljaoued

An algorithm for feature point tracking is proposed. The Interacting Multiple Model (IMM) filter is used to estimate the state of a feature point. The problem of data association, i.e. establishing which feature point to use in the state estimator, is solv ...

2007

Target tracking using a joint acoustic video system

Volkan Cevher

In this paper, we present a particle filter that exploits multi modal information for robust target tracking. We demonstrate a Bayesian framework for combining acoustic and video information using a state space approach. A proposal strategy for joint acous ...

2007

Dynamical Dirichlet Mixture Model

Jean-Marc Odobez, Le Chen

In this report, we propose a statistical model to deal with the discrete-distribution data varying over time. The proposed model -- HMM+DM -- extends the Dirichlet mixture model to the dynamic case: Hidden Markov Model with Dirichlet mixture output. Both t ...

IDIAP2007

Acoustic multi target tracking using direction-of-arrival batches

Volkan Cevher

In this paper, we propose a particle filter acoustic direction-of-arrival (DOA) tracker to track multiple maneuvering targets using a state space approach. The particle filter determines its state vector using a batch of DOA estimates. The filter likelihoo ...

Institute of Electrical and Electronics Engineers2007

Parameter Identification to Enforce Practical Observability of Nonlinear Systems

Dominique Bonvin, Levente Bodizs

The sensitivity of the unmeasured state variables to the measurements strongly affects the rate of convergence of a state estimation algorithm. To overcome potential observability problems, the approach has been to identify the model parameters so as to re ...

2007

Mixed-mode implementation of particle filters

Volkan Cevher

In this paper, we develop new mixed-mode implementations for particle filters and compare them to a digital implementation. The motivation for the mixed-mode implementation is to achieve low-power implementation of particle filters. The specific applicatio ...

2007

Tracking Atoms with Particles

Pierre Vandergheynst, Gianluca Monaci, Emilio Maggio

2006

On the facet-to-facet property of solutions to convex parametric quadratic programs

Colin Neil Jones

In some of the recently developed algorithms for convex parametric quadratic programs it is implicitly assumed that the intersection of the closures of two adjacent critical regions is a facet of both closures; this will be referred to as the facet-to-face ...

Elsevier2006

On the facet-to-facet property of solutions to convex parametric quadratic programs

Colin Neil Jones

2006