3D-POP - An automated annotation approach to facilitate markerless 2D-3D 
tracking of freely moving birds with marker-based motion capture

Naik, Hemal; Chan, Alex Hoi Hang; Yang, Junran; Delacoux, Mathilde; Couzin, Iain D.; Kano, Fumihiro; Nagy, Mate

doi:10.1109/cvpr52729.2023.02038

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3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture

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Naik, Hemal
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Couzin, Iain D.
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Kano, Fumihiro
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Nagy, Mate
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Naik, H., Chan, A. H. H., Yang, J., Delacoux, M., Couzin, I. D., Kano, F., et al. (2023). 3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 21274-21284. doi:10.1109/cvpr52729.2023.02038.

Cite as: https://hdl.handle.net/21.11116/0000-000D-C37D-B

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