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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking (Tracking Benchmark)

Research datakeyboard_double_arrow_right Dataset 31 Aug 2022 English Publisher:Zenodo
Authors: Waldmann, Urs; Hemal Naik; Nagy, Máté; Kano, Fumihiro; Couzin, Iain D.; Deussen, Oliver; Goldlücke, Bastian;

doi: 10.5281/zenodo.7038391 , 10.5281/zenodo.7038390

I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking (Tracking Benchmark)

Abstract

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/.

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Keywords

multi-object tracking, pigeons, pose estimation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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