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A Consistent Metric for Performance Evaluation of Multi-Object Filters

IEEE Transactions on Signal Processing · 2008 · Vol. 56(8) · pp. 3447–3457
Dominic SchuhmacherBa-Tuong VoBa‐Ngu Vo

Abstract

The concept of a miss-distance, or error, between a reference quantity and its estimated/controlled value, plays a fundamental role in any filtering/control problem. Yet there is no satisfactory notion of a miss-distance in the well-established field of multi-object filtering. In this paper, we outline the inconsistencies of existing metrics in the context of multi-object miss-distances for performance evaluation. We then propose a new mathematically and intuitively consistent metric that addresses the drawbacks of current multi-object performance evaluation metrics.

Target Tracking and Data Fusion in Sensor NetworksWater Systems and OptimizationDistributed Sensor Networks and Detection AlgorithmsMetric (unit)Computer scienceObject (grammar)Context (archaeology)Field (mathematics)Filter (signal processing)AlgorithmData miningArtificial intelligenceMathematics
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References
Combinatorial Optimization: Algorithms and Complexity.
American Mathematical Monthly · 1984 · 6,030 citations
The Gaussian Mixture Probability Hypothesis Density Filter
IEEE Transactions on Signal Processing · 2006 · 1,893 citations
<i>Tracking and Data Association</i>
The Journal of the Acoustical Society of America · 1990 · 3,084 citations
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