Search Results for author: Iain D. Couzin

Found 5 papers, 2 papers with code

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

1 code implementation CVPR 2023 Hemal Naik, Alex Hoi Hang Chan, Junran Yang, Mathilde Delacoux, Iain D. Couzin, Fumihiro Kano, Máté Nagy

Recent advances in machine learning and computer vision are revolutionizing the field of animal behavior by enabling researchers to track the poses and locations of freely moving animals without any marker attachment.

3D Pose Estimation Animal Pose Estimation +2

The Geometrical Structure of Bifurcations During Spatial Decision-Making

no code implementations11 Jul 2023 Dan Gorbonos, Nir S. Gov, Iain D. Couzin

Here we employ a simple model of this process to both explore how its dynamics account for the experimentally-observed abruptly-branching trajectories exhibited by animals during spatial decision-making, and to provide new insights into spatiotemporal computation.

Decision Making

An Effective Hydrodynamic Description of Marching Locusts

no code implementations3 Aug 2023 Dan Gorbonos, Felix Oberhauser, Luke L. Costello, Yannick Günzel, Einat Couzin-Fuchs, Benjamin Koger, Iain D. Couzin

Here, we address these questions using as a canonical example of a self-organizing complex system - the collective motion of desert locusts.

3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking

2 code implementations29 Aug 2023 Urs Waldmann, Alex Hoi Hang Chan, Hemal Naik, Máté Nagy, Iain D. Couzin, Oliver Deussen, Bastian Goldluecke, Fumihiro Kano

To the best of our knowledge we are the first to present a framework for 2D/3D animal posture and trajectory tracking that works in both indoor and outdoor environments for up to 10 individuals.

Pose Estimation

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