论文标题
HOTA：用于评估多对象跟踪的高阶度量
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
论文作者
论文摘要
众所周知，多目标跟踪（MOT）很难评估。以前的指标过分强调了检测或关联的重要性。为了解决这个问题，我们提出了一种新颖的MOT评估度量，HOTA（高阶跟踪准确性），该指标明确平衡了执行准确检测，关联和定位的效果，以比较单个统一指标来比较跟踪器。 HOTA分解为一个子量表家庭，能够分别评估五种基本错误类型中的每一种，从而可以清楚地分析跟踪性能。我们评估了HOTA对Motchallenge基准测试的有效性，并表明它能够捕获MOT性能的重要方面，以前已确定的指标不考虑。此外，我们显示HOTA得分可以更好地与跟踪性能的人类视觉评估保持一致。
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.
