Advances in Multi-Target Tracking Performance Evaluation
Stefano P. Coraluppi · 2023
This paper introduces several advances in methods to evaluate performance of multi-target trackers. First, we modify the classical target and track purity definitions to be more reflective of fragmentation and swap phenomena. Second, we extend performance evaluation to more general track outputs with arbitrary state probability distributions. Finally, we introduce a track-level generalization of the GOSPA metric that offers a scalar performance measure of overall tracking performance.