2021
DOI: 10.3390/s21175717
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Robust Measurement-Driven Cardinality Balance Multi-Target Multi-Bernoulli Filter

Abstract: The multi-target tracking filter under the Bayesian framework has strict requirements on the prior information of the target, such as detection probability density, clutter density, and target initial position information. This paper proposes a novel robust measurement-driven cardinality balance multi-target multi-Bernoulli filter (RMD-CBMeMBer) for solving the multiple targets tracking problem when the detection probability density is unknown, the background clutter density is unknown, and the target’s prior … Show more

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