Published September 20, 2019 | Version v1
Dataset Open

Bead tracking experimental ground truth for studying size segregation in bedload sediment transport

Authors/Creators

  • 1. Univ. grenoble Alpes, Irstea
  • 2. Laboratoire Hubert Curien UMR 5516, Université de Lyon, UJM-Saint-Etienne, CNRS, IOGS

Description

Video sequences to study size segregation in bedload transport were recorded. Experiments consisted in mixtures of two-size spherical glass beads entrained by a turbulent supercritical free surface water flow over a mobile bed. The aim is to track all beads over time to obtain trajectories, particle velocities and concentrations, for studying bedload granular rheology, size segregation and associated morphology.

This upload consists in :

  • a 1000-frame experimental image sequence recorded at 130 fps with approximately 400 beads per frame (about 300 coarse and 100 small beads). The image resolution is 1280x320;
  • the ground truth in the directory \result . It was obtained based on a tracking algorithm with subsequent expert modification. The tracking algorithm was developed by H. Lafaye de Micheaux et al. The code implementing the tracking algorithm is available on https://github.com/hugolafaye/BeadTracking. The ground truth is a '.mat' file containing in particular the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence. Complete information on data format is given in the file readme.txt in the github BeadTracking package.
  • In addition it contains three files allowing the user to run the BeadTracking package specifically on the experimental sequence :
    • sequence_param.txt : parameter file
    • sequence_base_mask.tif : to remove the base
    • template_transparent_bead_rOut10_rIn6.mat : a template for bead detection

Notes

Funding by 'Agence nationale de la recherche' project SegSed ANR-16-CE01-0005 and LabEx OSUG@2020 (Investissements d'avenir – ANR10 LABX56)

Files

BaumerBimAmont1000.zip

Files (210.7 MB)

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Additional details

Related works

Cites
10.1007/s00138-018-0925-z (DOI)

References

  • Lafaye de Micheaux, H., Ducottet, C., Frey, P. (2018). Multi-model particle filter-based tracking with switching dynamical state to study bedload transport. Machine Vision and Applications, Springer Nature, 29(5), 735-747. doi: https://doi.org/10.1007/s00138-018-0925-z
  • Lafaye de Micheaux, H. (2017). Image processing for segregation in bedload sediment transport: morphology and tracking. PhD Thesis in French, Université de Lyon. url: https://tel.archives-ouvertes.fr/tel-02102694
  • Lafaye de Micheaux, H., Ducottet, C., Frey, P. (2016). Online multi-model particle filter-based tracking to study bedload transport. International Conference on Image Processing (ICIP), IEEE, 3489-3493. doi: https://doi.org/10.1109/ICIP.2016.7533008
  • Hergault, V., Frey, P., Métivier, F., Barat, C., Ducottet, C., Böhm, T., Ancey, C. (2010). Image processing for the study of bedload transport of two-size spherical particles in a supercritical flow. Experiments in Fluids, Springer, 49(5), 1095-1107. doi: https://doi.org/10.1007/s00348-010-0856-6