These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Higher order tracking accuracy (HOTA)
In object tracking problems (e.g., "where is the human in this image?"), Higher order tracking accuracy (HOTA) measures how well the trajectories of matching detections align, and averages this over all matching detections, while also penalising detections that don’t match. HOTA 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.
HOTA supports Safety by enabling the evaluation and improvement of tracking system accuracy, which is crucial for preventing harmful errors in applications like autonomous driving or security monitoring. It also supports Robustness by providing a metric to assess system performance under various conditions, helping ensure that tracking remains reliable even in challenging scenarios. However, its impact on other Trustworthy AI objectives is minimal.
About the metric
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