The Zebrafish challenge (3D-ZeF20). This benchmark proposes a new challenging addition to the Multi-Object Tracking benchmarks, by extending it to 3D tracking of zebrafish swimming in a laboratory environment. We recorded 8 challenging video sequences (4 training, 4 test) with a stereo vision setup and annotated with bounding boxes and head points. Tracking and evaluation are done in 3D coordinates. All sequences have been annotated with high accuracy, following a well-defined protocol.
Dato for tilgængelighed2020


  • 1 Igangværende

Marine Analytics using Computer Vision

Pedersen, M.


Projekter: ProjektForskning


  • 1 Konferenceartikel i proceeding

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

Pedersen, M., Haurum, J. B., Bengtson, S. H. & Moeslund, T. B., 2020, (Accepteret/In press) 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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  • Citationsformater

    Pedersen, M. (Ophavsmand), Haurum, J. B. (Ophavsmand), Bengtson, S. H. (Ophavsmand), Moeslund, T. B. (Ophavsmand) (2020). 3D-ZeF. MOTChallenge.