Neyman-Pearson tracker performance assessment and modeling

Rockie Lee Ricks; John T. Barnett; Michael B. Klausen

doi:10.1117/12.364022

4 October 1999 Neyman-Pearson tracker performance assessment and modeling

Rockie Lee Ricks, John T. Barnett, Michael B. Klausen

Proceedings Volume 3809, Signal and Data Processing of Small Targets 1999; (1999) https://doi.org/10.1117/12.364022
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Target detection and tracking is a subject of great value to the defence community. With the need to build better detection and tracking system comes the need to evaluate the performance of such systems. Performance evaluation not only aids the system user in selecting the appropriate system for the specific application, but can also aid the developer in building and improving systems. An earlier paper discussed using the Neyman-Pearson (NP) criterion for evaluating the performance of tracking systems. The NP criterion is especially appropriate for evaluating the performance of tracking systems where the culminating action is an event such as the queuing of another systems or the engagement of a target. In this paper, some of the issues that have arisen since the earlier paper are addressed. First, a review of the application of the NP criterion to tracker performance assessment is given including a statement on the statistical significance of the declaration threshold setting. Performance is evaluated by examining lists of track declarations generated by running the system under test on real scenes without targets and on real scenes with targets inserted at given target strengths. One of the difficulties with the NP method of tracker performance evaluation is the computation and data storage requirements for setting the track declaration threshold. The use of models for reducing these requirements is discussed.

Citation Download Citation

Rockie Lee Ricks, John T. Barnett, and Michael B. Klausen "Neyman-Pearson tracker performance assessment and modeling", Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); https://doi.org/10.1117/12.364022

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