Track-Oriented MHT with Unresolved Measurements

S. Coraluppi, C. Carthel
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引用次数: 1

Abstract

This paper first validates that the track-oriented multiple-hypothesis tracking recursion holds in the case of state-dependent detection probabilities, as is generally assumed. Next, we seek to extend the track-oriented multiple-hypothesis tracking recursion to allow for unresolved measurements. The formulation requires some simplifying assumptions, including an assumption that targets be resolved at birth and a restriction on the size of unresolved target clusters. The tracking recursion requires some approximation to admit track-oriented (factored) form, and leads to a nonlinear optimization problem. We discuss a multi-stage architecture that provides a simpler and more robust processing approach for practical settings.
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带未解析测量的轨迹导向MHT
本文首先验证了轨迹导向的多假设跟踪递归在检测概率依赖于状态的情况下,如通常假设的那样成立。接下来,我们寻求扩展轨迹导向的多假设跟踪递归,以允许未解析的测量。该公式需要一些简化的假设,包括假设目标在出生时被解决,以及限制未解决的目标簇的大小。跟踪递归需要一定的近似才能实现面向跟踪的(因子)形式,从而导致非线性优化问题。我们讨论了一种多阶段架构,它为实际设置提供了一种更简单、更健壮的处理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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