Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A multi-sensor multi-Bernoulli filter   In this paper we derive a multi-sensor multi-Bernoulli (MS-MeMBer) filter for
multi-target tracking. Measurements from multiple sensors are employed by the
proposed filter to update a set of tracks modeled as a multi-Bernoulli random
finite set. An exact implementation of the MS-MeMBer update procedure is
computationally intractable. We propose an efficient approximate implementation
by using a greedy measurement partitioning mechanism. The proposed filter
allows for Gaussian mixture or particle filter implementations. Numerical
simulations conducted for both linear-Gaussian and non-linear models highlight
the improved accuracy of the MS-MeMBer filter and its reduced computational
load with respect to the multi-sensor cardinalized probability hypothesis
density filter and the iterated-corrector cardinality-balanced multi-Bernoulli
filter especially for low probabilities of detection.

34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
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The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th