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4 October 1999 Multitarget detection and acquisition: a unified approach
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Abstract
SUppose that a multitarget tracker is used to track a dim target in heavy clutter. In the paper 'Characteristics of the Acquisition of a Dim Target in Clutter', Oliver Drummond has pointed out that, for such a tracker, target acquisition is a very different problem than target detection. In particular, target acquisition requires two Receiver Operating Characteristic (ROC) curves; whereas target detection requires only one. In past presentations at this and other conferences and in the book Mathematics of Data Fusion, we have introduced 'finite-set statistics' (FISST), a direct generalization of conventional single-sensor, single-target statistics to the multitarget realm. In this paper we show how FISST results in a unification of both detection and acquisition under a familiar decision- theoretic framework. The basic idea is to use a unified Bayesian single-target tracker with clutter models, rather than a multitarget tracker. In analogy to a conventional detection problem, the acquisition problem is reduced to a conventional decision problem. In particular, we show how to define an 'acquisition ROC curve' for this sort of generalized detection problem.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald P. S. Mahler and Marty O'Hely "Multitarget detection and acquisition: a unified approach", Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); https://doi.org/10.1117/12.364023
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