Design of a performance evaluation methodology for data-fusion-based multiple target tracking systems

Sanjay Rawat; James Llinas; Christopher L. Bowman

doi:10.1117/12.497973

1 April 2003 Design of a performance evaluation methodology for data-fusion-based multiple target tracking systems

Sanjay Rawat, James Llinas, Christopher L. Bowman

Proceedings Volume 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003; (2003) https://doi.org/10.1117/12.497973
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The emphasis of this paper is to design a Performance Evaluation Methodology for Data Fusion-based Multiple Target Tracking Systems. Within this methodology the Performance Evaluation process is treated as a whole new fusion process. This has two major advantages - (1) Facilitates reusability of existing models and algorithms, and (2) Using standard frameworks and norms makes it easier for the tracking community to easily adopt it - thus giving this aspect of tracking a highly needed jumpstart. A case study implementation of this design methodology is presented. Three different Track-Truth Association strategies were implemented to study the affect of Track-Truth Association strategies on the performance metrics. The Case Study results conclusively show that the selection of the Track-Truth Association strategy should be done with reference to the scenario characteristics, the “mission” goals and the performance metrics to be evaluated.

Citation Download Citation

Sanjay Rawat, James Llinas, and Christopher L. Bowman "Design of a performance evaluation methodology for data-fusion-based multiple target tracking systems", Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); https://doi.org/10.1117/12.497973

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