DocumentCode
262864
Title
A new performance metric for multiple target tracking based on optimal subpattern assignment
Author
Tuyet Vu ; Evans, Roger
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear
2014
fDate
7-10 July 2014
Firstpage
1
Lastpage
8
Abstract
This paper proposes a new metric based on the Optimal Sub-pattern Assignment (OSPA) metric for evaluating the performance of multiple target tracking algorithms. It is shown in this paper that by considering the properties of false tracks, missing tracks and miss-detections, the minimization of all distances between tracks enables performance evaluation of multi-target algorithms in a more comprehensive manner than is possible with the OSPA metric for track (OSPAT) introduced by Ristic et al.
Keywords
performance evaluation; target tracking; OSPA metric for track; OSPAT; false tracks; missdetections; missing tracks; multiple target tracking; multitarget algorithms; optimal subpattern assignment metric; Indexes; Labeling; Measurement uncertainty; Performance evaluation; Target tracking; Vectors; Multi-target Tracking (MTT); OSPA metric for multiple tracks (OSPAMT); OSPA metric for track (OSPAT metric); Optimal Subpattern Assignment (OSPA);
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location
Salamanca
Type
conf
Filename
6916039
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