• DocumentCode
    549119
  • Title

    Performance measures for multiple target tracking problems

  • Author

    Gorji, A.A. ; Tharmarasa, R. ; Kirubarajan, T.

  • Author_Institution
    Dept. of Electr. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Performance evaluation is one of the most important steps in any target tracking problem. The objective of this paper is to present a brief review of different approaches available for the performance analysis of multiple target tracking algorithms. Metrics are first classified into sensor-dependent and tracker-dependent ones. Then, the tracker-dependent measures are discussed after classifying into two groups named algorithm-free and algorithm dependent measures. For the classification purposes, three different categories of algorithm-free metrics are described. Finally, to demonstrate the application of the metrics in evaluating the performance of different tracking algorithms, a challenging scenario is considered.
  • Keywords
    sensors; target tracking; algorithm dependent measures; algorithm-free measures; multiple target tracking algorithms; performance evaluation; sensor-dependent measure; tracker-dependent measures; Accuracy; Equations; Mathematical model; Monte Carlo methods; Target tracking; Time measurement; Performance evaluation; metric classification; track to truth association;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977557