Malte Pedersen — accepted AI-conference papers

2022

MOTCOM: The Multi-Object Tracking Dataset Complexity Metric

Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund

ECCV 2022poster

"There exists no comprehensive metric for describing the complexity of Multi-Object Tracking (MOT) sequences. This lack of metrics decreases explainability, complicates comparison of datasets, and reduces the conversation on tracker performance to a matter of leader board position. As a remedy, we p…

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2020

3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset

Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund

CVPR 2020poster

In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF. Zebrafish is an increasingly popular model organism used for studying neurological disorders, drug addiction, and more. Behavioral analysis is often a critical part of s…

Cited by 65 PDF ↗Scholar ↗