Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has been a growing interest in organizing systematic evaluations to compare the various technique...

Full description

Bibliographic Details
Main Authors: Rainer Stiefelhagen, Keni Bernardin
Format: Article
Language:English
Published: SpringerOpen 2008-06-01
Series:EURASIP Journal on Image and Video Processing
Online Access:http://dx.doi.org/10.1155/2008/246309
_version_ 1811340886302261248
author Rainer Stiefelhagen
Keni Bernardin
author_facet Rainer Stiefelhagen
Keni Bernardin
author_sort Rainer Stiefelhagen
collection DOAJ
description Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has been a growing interest in organizing systematic evaluations to compare the various techniques. Unfortunately, the lack of common metrics for measuring the performance of multiple object trackers still makes it hard to compare their results. In this work, we introduce two intuitive and general metrics to allow for objective comparison of tracker characteristics, focusing on their precision in estimating object locations, their accuracy in recognizing object configurations and their ability to consistently label objects over time. These metrics have been extensively used in two large-scale international evaluations, the 2006 and 2007 CLEAR evaluations, to measure and compare the performance of multiple object trackers for a wide variety of tracking tasks. Selected performance results are presented and the advantages and drawbacks of the presented metrics are discussed based on the experience gained during the evaluations.
first_indexed 2024-04-13T18:48:34Z
format Article
id doaj.art-e123b0ee2a7b41089c2404fdec50f84e
institution Directory Open Access Journal
issn 1687-5176
1687-5281
language English
last_indexed 2024-04-13T18:48:34Z
publishDate 2008-06-01
publisher SpringerOpen
record_format Article
series EURASIP Journal on Image and Video Processing
spelling doaj.art-e123b0ee2a7b41089c2404fdec50f84e2022-12-22T02:34:31ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812008-06-01200810.1155/2008/246309Evaluating Multiple Object Tracking Performance: The CLEAR MOT MetricsRainer StiefelhagenKeni BernardinSimultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has been a growing interest in organizing systematic evaluations to compare the various techniques. Unfortunately, the lack of common metrics for measuring the performance of multiple object trackers still makes it hard to compare their results. In this work, we introduce two intuitive and general metrics to allow for objective comparison of tracker characteristics, focusing on their precision in estimating object locations, their accuracy in recognizing object configurations and their ability to consistently label objects over time. These metrics have been extensively used in two large-scale international evaluations, the 2006 and 2007 CLEAR evaluations, to measure and compare the performance of multiple object trackers for a wide variety of tracking tasks. Selected performance results are presented and the advantages and drawbacks of the presented metrics are discussed based on the experience gained during the evaluations.http://dx.doi.org/10.1155/2008/246309
spellingShingle Rainer Stiefelhagen
Keni Bernardin
Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
EURASIP Journal on Image and Video Processing
title Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
title_full Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
title_fullStr Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
title_full_unstemmed Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
title_short Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
title_sort evaluating multiple object tracking performance the clear mot metrics
url http://dx.doi.org/10.1155/2008/246309
work_keys_str_mv AT rainerstiefelhagen evaluatingmultipleobjecttrackingperformancetheclearmotmetrics
AT kenibernardin evaluatingmultipleobjecttrackingperformancetheclearmotmetrics