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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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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
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e-ISSN
2155-5753
Number of pages
10
Pages from-to
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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
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