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@@ -6,14 +6,32 @@ Sampe data for testing the movement Python package
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## Licensing information
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-The `single-crab_MOCA-crab-1_video.mp4` video and corresponding annotations are part of the [Moving Camouflaged Animals Dataset (MoCA) dataset](https://www.robots.ox.ac.uk/~vgg/data/MoCA/).
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+### MoCA crab video and annotations
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+The `single-crab_MOCA-crab-1_video.mp4` video and corresponding annotations are part of the [Moving Camouflaged Animals Dataset (MoCA) dataset](https://www.robots.ox.ac.uk/~vgg/data/MoCA/) [1].
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The MoCA dataset is available to download for commercial/research purposes under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). The copyright remains with the original owners of the video. A complete version of the license for the MoCA dataset can be found [here](https://thor.robots.ox.ac.uk/MoCA/license_MoCA.txt).
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The `VIA_single-crab_MOCA-crab-1_linear-interp.csv` file is linearly interpolated from the original data in the MoCA dataset and was contributed by GitHub contributor Mahima Sahu ([@Mahi7828](https://github.com/Mahi7828)).
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The original annotation data for the selected clip (`crab_1`) was modified to follow the format of a [VIA tracks file](https://www.robots.ox.ac.uk/~vgg/software/via/docs/face_track_annotation.html). The associated video clip was generated from the frames provided in the MoCA dataset.
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+### Anipose mouse paw triangulation data
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The `anipose_mouse-paw_anipose-paper.triangulation.csv` file was taken from `anipose` source data available [here](https://datadryad.org/stash/dataset/doi:10.5061/dryad.nzs7h44s4), released under a [Creative Commons Zero v1.0 Universal License](https://spdx.org/licenses/CC0-1.0.html). The data excerpt was renamed from `mouse-anipose/mouse-testing/020820_preDTreaches_day1/020820_JiDT12/pose-3d/preDT1_JiDT12_reach1_hit.csv`.
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+### Locusts tracked with TRex
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+The `TRex_five-locusts.zip` data was taken from the [TRex-tutorials-data](https://github.com/albiangela/TRex-tutorials-data) repository, which is licensed under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
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+Specifically, the files in `TRex_five-locusts.zip` correspond to the `.npz` files stored under `TRex-tracking-output/locusts-5/data/`.
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+We acknowledge Angela Albi and Daniele Carlesso for providing access to the dataset and related materials, collected in the facility of the Department of Collective Behavior at the Max Planck Institute of Animal Behavior and the Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz.
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+The corresponding video can be found on the Edmond data repository [2] as [`locusts-noqr_20250117_5.mp4`](https://edmond.mpg.de/file.xhtml?fileId=265442&version=1.0).
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+This is a video of 5 locusts (Schistocerca gregaria) in a 60cm diameter custom-built arena.
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+The video was originally recorded at 5 frames per second but the playback in this file is set to 30 frames per second.
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+The `locusts-noqr_n-5_date-20250117_frame-bg.png` file constitutes the max projection of the first 100 frames of the video.
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## References
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-Lamdouar, H., Yang, C., Xie, W., & Zisserman, A. (2020). "Betrayed by motion: Camouflaged object discovery via motion segmentation". In _Proceedings of the Asian Conference on Computer Vision_. [doi: 10.48550/arXiv.2011.11630](https://doi.org/10.48550/arXiv.2011.11630)
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+1. Lamdouar, H., Yang, C., Xie, W., & Zisserman, A. (2020). "Betrayed by motion: Camouflaged object discovery via motion segmentation". In _Proceedings of the Asian Conference on Computer Vision_. [doi: 10.48550/arXiv.2011.11630](https://doi.org/10.48550/arXiv.2011.11630)
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+2. Albi, Angela; Walter, Tristan; Carlesso, Daniele, 2025, "Example videos for multi-object tracking", [doi: 10.17617/3.7F5MGE](https://doi.org/10.17617/3.7F5MGE), Edmond, V1
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