Introduces GOSPA and T-GOSPA quasi-metrics with asymmetric costs and unequal false/missed penalties for flexible MOT performance assessment, demonstrated via simulations of Bayesian trackers.
Labeled random finite sets and multi-object conjugate priors,
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GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
Introduces GOSPA and T-GOSPA quasi-metrics with asymmetric costs and unequal false/missed penalties for flexible MOT performance assessment, demonstrated via simulations of Bayesian trackers.