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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
ForlagMOTChallenge
  • 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, s. 2426-2436 11 s. (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).

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