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