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

Dataset

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

DOI

The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on the relative positions of markers and keypoints.

Identifier
DOI	https://doi.org/10.17617/3.HPBBC7
Metadata Access	https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.HPBBC7

Provenance
Creator	naik, Hemal; Chan, Alex Hoi Hang; Yang, Junran; Delacoux, Mathilde; Couzin, D. Iain; Kano, Fumihiro; Nagy, Mate
Publisher	Edmond
Publication Year	2024
Funding Reference	422037984; Deutsche Forschungsgemeinschaft
OpenAccess	true
Contact	achan(at)ab.mpg.de

Representation
Language	English
Resource Type	Dataset
Version	6
Discipline	Other