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Assessing multiple-target tracking performance of GNN association algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00323580" target="_blank" >RIV/68407700:21110/18:00323580 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8448011/" target="_blank" >https://ieeexplore.ieee.org/document/8448011/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/IRS.2018.8448011" target="_blank" >10.23919/IRS.2018.8448011</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessing multiple-target tracking performance of GNN association algorithm

  • Original language description

    This paper deals with the performance assessment of multiple-target tracking algorithm. The goal is, provided two different tracking algorithms and data, to evaluate their performance and to decide which one of them is more suitable for real-time tracking applications. Since performance evaluation with multiple targets is a complex problem due to ambiguities that create confusion about which track belongs to and follows a target, we will evaluate the performance of tracking algorithms using well-known metrics from different categories such as track cardinality metrics, track accuracy and time metrics. The results of performance evaluation will be used for the decision which of tested tracking algorithms is better to use for multiple-target tracking purposes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of International Radar Symposium 2018

  • ISBN

    978-3-7369-9545-1

  • ISSN

  • e-ISSN

    2155-5753

  • Number of pages

    10

  • Pages from-to

  • Publisher name

    Deutsche Gesellschaft für Ortung und Navigation e.V. (DGON)

  • Place of publication

    Bonn

  • Event location

    Bonn, Germany

  • Event date

    Jun 20, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article