Journal article
HOTA: A higher order metric for evaluating multi-object tracking
- Abstract:
- Multi-object tracking (MOT) has been notoriously difficult to evaluate. Previous metrics overemphasize the importance of either detection or association. To address this, we present a novel MOT evaluation metric, higher order tracking accuracy (HOTA), which explicitly balances the effect of performing accurate detection, association and localization into a single unified metric for comparing trackers. HOTA decomposes into a family of sub-metrics which are able to evaluate each of five basic error types separately, which enables clear analysis of tracking performance. We evaluate the effectiveness of HOTA on the MOTChallenge benchmark, and show that it is able to capture important aspects of MOT performance not previously taken into account by established metrics. Furthermore, we show HOTA scores better align with human visual evaluation of tracking performance.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.6MB, Terms of use)
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- Publisher copy:
- 10.1007/s11263-020-01375-2
Authors
- Publisher:
- Springer Nature
- Journal:
- International Journal of Computer Vision More from this journal
- Volume:
- 129
- Issue:
- 2
- Pages:
- 548–578
- Publication date:
- 2020-10-08
- Acceptance date:
- 2020-08-19
- DOI:
- EISSN:
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1573-1405
- ISSN:
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0920-5691
- Language:
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English
- Keywords:
- Pubs id:
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1139146
- Local pid:
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pubs:1139146
- Deposit date:
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2020-10-26
- ARK identifier:
Terms of use
- Copyright holder:
- Luiten et al.
- Copyright date:
- 2020
- Rights statement:
- ©2020 The Author(s).
- Notes:
- Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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