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Hypothesis structure in enhanced multiple-hypothesis tracking

机译:多重假设追踪中的假设结构

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摘要

This paper defines and illustrates a tractable methodology for enhanced multiple-hypothesis tracking (MHT) that accounts for undetected target births. The hypothesis space of interest is of the same complexity as in classical MHT. Additionally, the solution requires an overlay of ghost targets that are never detected. We illustrate the superior performance of our novel approach with respect to a number of performance metrics.
机译:本文定义并说明了用于增强多假设跟踪(MHT)的易处理方法,该方法可解决未检测到的目标出生问题。感兴趣的假设空间与经典MHT具有相同的复杂性。此外,该解决方案要求覆盖从未检测到的幻影目标。我们将说明我们的新颖方法相对于许多性能指标的优越性能。

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