Datensatz:

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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Datum der Erstveröffentlichung

2023

Autor:innen

Andere Beitragende

Repositorium der Erstveröffentlichung

Max Planck Digital Library

Version des Datensatzes

6
DOI (Link zu den Daten)
https://doi.org/10.17617/3.hpbbc7
Link zur Lizenz

CC BY 4.0

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): 422037984

Projekt

Sammlungen

Biologie: Datensätze
Exzellenzcluster "Centre for the Advanced Study of Collective Behaviour": Datensätze
Core Facility der Universität Konstanz
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Titel in einer weiteren Sprache

Publikationsstatus
Published

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Biology, Computer Science, Systems and Electrical Engineering, Posture Tracking, Computer Vision, Motion Capture, Homing Pigeon, Identity Tracking, 3D Posture tracking, Computer Vision, Animal Behaviour, 2D Posture, 3D Posture

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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
(2023) Naik, Hemal; Chan, Hoi Hang; Yang, Junran; Delacoux, Mathilde; Couzin, Iain D.; Kano, Fumihiro; Nagy, Mate
Erschienen in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Piscataway, NJ: IEEE, 2023, S. 21274-21284. ISBN 979-8-3503-0129-8. Verfügbar unter: doi: 10.1109/cvpr52729.2023.02038
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Zitieren

ISO 690NAIK, Hemal, Hoi Hang CHAN, Junran YANG, Mathilde DELACOUX, Iain D. COUZIN, Fumihiro KANO, Mate NAGY, 2023. 3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture
BibTex
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