1998
DOI: 10.1117/12.324645
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<title>PMHT for maneuvering targets</title>

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Cited by 16 publications
(21 citation statements)
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“…As the variables are assumed dependent by A2), this computation implies the exhaustive enumeration of all the possible associations for . The novelty in the PMHT algorithm [12], [32], [33] consists of replacing the assumption A2) by A3): A3) One target can produce zero or several measurements at one time.…”
Section: A Mtt Problem and Its Classical Treatmentmentioning
confidence: 99%
See 1 more Smart Citation
“…As the variables are assumed dependent by A2), this computation implies the exhaustive enumeration of all the possible associations for . The novelty in the PMHT algorithm [12], [32], [33] consists of replacing the assumption A2) by A3): A3) One target can produce zero or several measurements at one time.…”
Section: A Mtt Problem and Its Classical Treatmentmentioning
confidence: 99%
“…In [12], [32], and [33], the EM algorithm is extended and applied to multitarget tracking. This method implies that the vectors and are considered as parameters to estimate.…”
Section: Mtpf Algorithmmentioning
confidence: 99%
“…The standard PMHT restricts the prior to be either constant, or time independent. Existing PMHT research does not address the assignment prior; effort has instead focussed on the target dynamics model [4,8,6,9], more sophisticated measurement models [10][11][12], and matters of practical significance for realistic implementations [7,13,14]. A model is proposed here which allows the assignment prior to be a randomly evolving quantity.…”
Section: Introductionmentioning
confidence: 99%
“…The PMHT offers an attractive alternative to more traditional tracking approaches because it easily accommodates model complexity (such as multiple target dynamics models for manoeuvring targets) [4][5][6], and because its computation requirements scale linearly with the problem size [3].…”
Section: Introductionmentioning
confidence: 99%
“…The PMHT algorithm proposed in [7] operates in batch mode and it is not possible to track arbitrary trajectory. PMHT algorithm based on homothetic target models is presented in [5] for maneuvering target tracking. But it does not incorporate different models for target dynamics.…”
Section: Introductionmentioning
confidence: 99%