articleUWA Profiles and Research Repository (UWA)Sep 26, 2008Closed access

On performance evaluation of multi-object filters

The University of Western Australia · The University of Melbourne

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.

Citation impact

725
total citations
FWCI
28.15
Percentile
100%
References
10
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Object (grammar)
  • Context (archaeology)
  • Metric (unit)
  • Field (mathematics)
  • Value (mathematics)
  • Data mining
  • Artificial intelligence
UN Sustainable Development Goals
  • Reduced inequalities
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