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

<p>This data entry contains the multi-pigeon video sequences with ground truth for the quantitative tracking evaluation from the <a href="https://urs-waldmann.github.io/i-muppet/docs/muppet_paper.pdf"><strong>I-MuPPET GCPR 2022 paper</strong></a>.</p> <p>This data contains 24 video sequences showing up to four pigeons in our <a href="https://www.exc.uni-konstanz.de/collective-behaviour/research/facilities/imaging-barn/">imaging barn</a> at the <a href="https://www.exc.uni-konstanz.de/collective-behaviour/">Centre for the Advanced Study of Collective Behaviour</a>. The experiments were carried out by Hemal Naik, M&aacute;t&eacute; Nagy, Fumihiro Kano and Iain D. Couzin and were approved by the Regierungspr&auml;sidium Freiburg under the permit number Az. 35-9185.81/G-19/107.</p> <p>Data was recorded by two Vicon Vue 2 cameras (1920x1080 pixels) at 50 Hz.</p> <p>The ground truth for the quantitative tracking evaluation was created by Urs Waldmann.</p> <p>Code for I-MuPPET available at <a href="https://github.com/urs-waldmann/i-muppet/">https://github.com/urs-waldmann/i-muppet/</a>.</p>