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1 August 1991 Performance evaluation methods for multiple-target-tracking algorithms
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Abstract
Scoring methods are described for evaluating the performance of a multiple target tracking (MTT) algorithm fairly, without undue bias towards any particular type. The methods were initially developed by individuals and further developed and adapted by the members of the SDI panels on tracking. Ambiguous track-to-target truth association is the fundamental difficulty in MTT performance evaluation. The methods use a global nearest neighbor assignment algorithm to uniquely associate tracks to targets. With the track- to-target associations, the methods employ measures of effectiveness for track purity, data association, state estimation accuracy, and credibility of filter calculated covariance.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barry E. Fridling and Oliver E. Drummond "Performance evaluation methods for multiple-target-tracking algorithms", Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); https://doi.org/10.1117/12.45677
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