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- W2890127342 abstract "This paper finds conditions under which Multiple Hypothesis Tracking (MHT) is an exact Bayesian solution to the multiple-target tracking problem. The crucial condition is that measurements arrive in scans, but otherwise the conditions are minimally restrictive. In order to produce a computationally feasible implementation of MHT, some approximations must be made, but this true is for any (existing) method of producing an exact Bayesian solution. Limiting the number of hypotheses considered is an example of such an approximation. This paper is motivated by recent claims that MHT is not theoretically rigorous or “Bayes optimal.”" @default.
- W2890127342 created "2018-09-27" @default.
- W2890127342 creator A5038889390 @default.
- W2890127342 date "2018-07-01" @default.
- W2890127342 modified "2023-09-26" @default.
- W2890127342 title "Conditions for MHT to be an Exact Bayesian Solution to the Multiple Target Tracking Problem" @default.
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- W2890127342 doi "https://doi.org/10.23919/icif.2018.8455632" @default.
- W2890127342 hasPublicationYear "2018" @default.
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