A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms
Paper i proceeding, 2021

This paper proposes a metric for sets of trajectories to evaluate multi-object tracking algorithms that includes time-weighted costs for localisation errors of properly detected targets, for false targets, missed targets and track switches. The proposed metric extends the metric in [1] by including weights to the costs associated to different time steps. The time-weighted costs increase the flexibility of the metric [1] to fit more applications and user preferences. We first introduce a metric based on multi-dimensional assignments, and then its linear programming relaxation, which is computable in polynomial time and is also a metric. The metrics can also be extended to metrics on random finite sets of trajectories to evaluate and rank algorithms across different scenarios, each with a ground truth set of trajectories.

Performance evaluation

Sets of trajectories

Multiple object tracking

Metrics

Författare

Angel Garcia

Universidad Nebrija

University of Liverpool

Abu Sajana Rahmathullah

Zenseact AB

Lennart Svensson

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021


9781737749714 (ISBN)

24th IEEE International Conference on Information Fusion, FUSION 2021
Sun City, South Africa,

Ämneskategorier

Robotteknik och automation

Reglerteknik

Signalbehandling

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Senast uppdaterat

2022-02-07