Paper
13 July 2000 Performance metrics for multiple-sensor multiple-target tracking
Ronald L. Rothrock, Oliver E. Drummond
Author Affiliations +
Abstract
Because there may be misassociations, soft-decision association, or extra tracks due to false detections or other causes, performance evaluation of multiple target tracking is more complex than evaluating filter performance. This paper presents a methodology and performance metrics to evaluate tracking in the presence of these and other complications. The goal is to evaluate the various aspects of tracking performance that are of concern to operational users. The emphasis of this paper is performance evaluation of trackers, both single-sensor trackers and distributed trackers that combine data from multiple, distributed sensors. Included are the equations for computing metrics to evaluate completeness, timeliness, track continuity, ambiguity, accuracy, and cross-platform commonality. Cross-platform commonality includes metrics to evaluate how consistent the target tracks are across global trackers at different locations.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald L. Rothrock and Oliver E. Drummond "Performance metrics for multiple-sensor multiple-target tracking", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); https://doi.org/10.1117/12.392004
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Cited by 77 scholarly publications.
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KEYWORDS
Monte Carlo methods

Sensors

Error analysis

Signal processing

Data processing

Detection and tracking algorithms

Statistical analysis

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