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.
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.
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