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Proceedings Paper

Performance evaluation methods for multiple-target-tracking algorithms
Author(s): Barry E. Fridling; Oliver E. Drummond
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Paper 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.

Paper Details

Date Published: 1 August 1991
PDF: 13 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45677
Show Author Affiliations
Barry E. Fridling, Institute for Defense Analyses (United States)
Oliver E. Drummond, General Dynamics Corp. (United States)


Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

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