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Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL

Veterinary Science

Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL

L. An, J. Ren, et al.

Explore the fascinating world of animal interactions with MAMMAL, a groundbreaking system developed by Liang An, Jilong Ren, Tao Yu, Tang Hai, Yichang Jia, and Yebin Liu. It captures 3D surface motions of pigs and other large mammals, even amidst occlusions, paving the way for advanced analysis of their locomotion and social behaviors.

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Playback language: English
Abstract
Understanding the three-dimensional social behaviors of freely moving large mammals is crucial for agriculture and life science. Existing methods for animal pose estimation often fail due to occlusions during close interactions. This study introduces MAMMAL (Multi-Animal Mesh Model Alignment), a system using an articulated surface mesh model to capture 3D surface motions of multiple animals, even with severe occlusions. MAMMAL enables quantitative analysis of pig locomotion, postures, animal-scene interactions, social interactions, and tail motions. Experiments on mice and dogs demonstrate MAMMAL's generalizability.
Publisher
Nature Communications
Published On
Nov 25, 2023
Authors
Liang An, Jilong Ren, Tao Yu, Tang Hai, Yichang Jia, Yebin Liu
Tags
3D motion capture
animal pose estimation
large mammals
social behaviors
occlusions
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