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25 April 2024 |
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HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking | | Jonathon Luiten
; Aljosa Osep
; Patrick Dendorfer
; Philip Torr
; Andreas Geiger
; Laura Leal-Taixe
; Bastian Leibe
; | | Date: |
16 Sep 2020 | | 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, HOTA
(Higher Order Tracking Accuracy), 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. | | Source: | arXiv, 2009.07736 | | Services: | Forum | Review | PDF | Favorites | |
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