Description

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.
Date made available2020
PublisherMOTChallenge

Emneord

  • Stereo Vision
  • MOT
  • 3D
  • Multiple Object Tracking
  • Zebrafish
  • Dataset
  • 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset

    Pedersen, M., Haurum, J. B., Bengtson, S. H. & Moeslund, T. B., 5 Aug 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): IEEE, p. 2426-2436 11 p. (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    1 Citation (Scopus)

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