The standard tracking metrics measure attributes such as position and velocity accuracy, covariance consistency, track completeness, spurious tracks, and redundant tracks. These standard metrics can be applied to a single target, and can be extended to a multiple-target scene by simply taking the per-target average. However, for quantifying tracking performance over a multiple-targets scene, standard per-target averages can be insufficient for characterizing scene-level performance. In this paper we present a family of pattern metrics which quantify how well the multiple-object track scene matches to truth at the scene level rather than at the per-target level. This paper will introduce and define three key pattern metrics: pattern accuracy, pattern consistency, and pattern containment. We will show that each of these pattern metrics provides a unique insight into system performance, and, to our knowledge, have not been previously published.
Pattern metrics for groups of target tracks
01.03.2018
875031 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Target association using harmonic frequency tracks
IEEE | 2002
|Target Association Using Harmonic Frequency Tracks
British Library Conference Proceedings | 2002
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