Title :
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
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;
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
DOI :
10.1109/ICIF.2010.5712055
