Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Variational Bayesian Inference for Audio-Visual Tracking of Multiple
  Speakers   In this paper we address the problem of tracking multiple speakers via the
fusion of visual and auditory information. We propose to exploit the
complementary nature of these two modalities in order to accurately estimate
smooth trajectories of the tracked persons, to deal with the partial or total
absence of one of the modalities over short periods of time, and to estimate
the acoustic status -- either speaking or silent -- of each tracked person
along time. We propose to cast the problem at hand into a generative
audio-visual fusion (or association) model formulated as a latent-variable
temporal graphical model. This may well be viewed as the problem of maximizing
the posterior joint distribution of a set of continuous and discrete latent
variables given the past and current observations, which is intractable. We
propose a variational inference model which amounts to approximate the joint
distribution with a factorized distribution. The solution takes the form of a
closed-form expectation maximization procedure. We describe in detail the
inference algorithm, we evaluate its performance and we compare it with several
baseline methods. These experiments show that the proposed audio-visual tracker
performs well in informal meetings involving a time-varying number of people.

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The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
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The categories of this paper are: nlin
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The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
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The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-th