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
Link To Document :
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