Dataset Open Access
I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking (Tracking Benchmark)
Urs Waldmann;
Hemal Naik;
Máté Nagy;
Fumihiro Kano;
Iain D. Couzin;
Oliver Deussen;
Bastian Goldlücke
This data entry contains the multi-pigeon video sequences with ground truth for the quantitative tracking evaluation from the I-MuPPET GCPR 2022 paper.
This data contains 24 video sequences showing up to four pigeons in our imaging barn at the Centre for the Advanced Study of Collective Behaviour. The experiments were carried out by Hemal Naik, Máté Nagy, Fumihiro Kano and Iain D. Couzin and were approved by the Regierungspräsidium Freiburg under the permit number Az. 35-9185.81/G-19/107.
Data was recorded by two Vicon Vue 2 cameras (1920x1080 pixels) at 50 Hz.
The ground truth for the quantitative tracking evaluation was created by Urs Waldmann.
Code for I-MuPPET available at https://github.com/urs-waldmann/i-muppet/.
| All versions | This version | |
|---|---|---|
| Views | 107 | 107 |
| Downloads | 2 | 2 |
| Data volume | 247.0 MB | 247.0 MB |
| Unique views | 66 | 66 |
| Unique downloads | 2 | 2 |
- Publication date:
- August 31, 2022
- DOI:
-
- Keyword(s):
- pose estimation multi-object tracking pigeons
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International