Performance evaluation of multi-target tracking using the OSPA metric

Author

Ristic, B. ; Ba-Ngu Vo ; Clark, D.

Author_Institution

ISR Div., DSTO, Melbourne, VIC, Australia

fYear

2010

fDate

26-29 July 2010

Firstpage

1

Lastpage

7

Abstract

Performance evaluation of multi-target tracking algorithms is of great practical importance in the design and comparison of tracking systems. Recently a consistent metric for performance evaluation of multi-object filters (referred to as OSPA metric) has been proposed. In this paper we describe how the OSPA metric can be adapted to evaluate the performance of multi-target tracking algorithms. The main idea is to introduce the track label error into consideration in order to capture the data association performance, in addition to the existing cardinality and localisation errors. The paper demonstrates the proposed method by assessing and comparing the performance of two particle filters for multi-target tracking.

Keywords

particle filtering (numerical methods); performance evaluation; sensor fusion; target tracking; OSPA metric; cardinality error; consistent metric; data association performance; localisation error; multiobject filters; multitarget tracking algorithms; particle filters; performance evaluation; track label error; tracking systems; Australia; Clutter; Equations; Labeling; Performance evaluation; Target tracking; Multi-target tracking; data association; particle filters; performance evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2010 13th Conference on

Conference_Location

Edinburgh

Print_ISBN

978-0-9824438-1-1

Type

conf

DOI

10.1109/ICIF.2010.5712055

Filename

5712055