Performance evaluation of multi-target tracking using the OSPA metric

Branko Ristic, Ba N. Vo, Daniel Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

60 Citations (Scopus)


Performance evaluation of multi-target tracking algorithms is of great practical importance in the design and comparison of tracking systems. Recently a consistent metric for performance evaluation of multi-object filters (referred to as OSPA metric) has been proposed. In this paper we describe how the OSPA metric can be adapted to evaluate the performance of multi-target tracking algorithms. The main idea is to introduce the track label error into consideration in order to capture the data association performance, in addition to the existing cardinality and localisation errors. The paper demonstrates the proposed method by assessing and comparing the performance of two particle filters for multi-target tracking.

Original languageEnglish
Title of host publication13th Conference on Information Fusion, Fusion 2010
Publication statusPublished - 2010
Event13th Conference on Information Fusion - Edinburgh, United Kingdom
Duration: 26 Jul 201029 Jul 2010


Conference13th Conference on Information Fusion
Abbreviated titleFusion 2010
Country/TerritoryUnited Kingdom


  • Data association
  • Multi-target tracking
  • Particle filters
  • Performance evaluation


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