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- W4301607078 abstract "This paper proposes a novel multi-target tracking (MTT) algorithm for scenarios with arbitrary numbers of measurements per target. We propose the variational probabilistic multi-hypothesis tracking (VPMHT) algorithm based on the variational Bayesian expectation-maximisation (VBEM) algorithm to resolve the MTT problem in the classic PMHT algorithm. With the introduction of variational inference, the proposed VPMHT handles track-loss much better than the conventional probabilistic multi-hypothesis tracking (PMHT) while preserving a similar or even better tracking accuracy. Extensive numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm." @default.
- W4301607078 created "2022-10-05" @default.
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- W4301607078 date "2021-10-25" @default.
- W4301607078 modified "2023-10-16" @default.
- W4301607078 title "Variational Probabilistic Multi-Hypothesis Tracking" @default.
- W4301607078 doi "https://doi.org/10.48550/arxiv.2110.11954" @default.
- W4301607078 hasPublicationYear "2021" @default.
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