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

ABSTRACT: Understandings of the three-dimensional social behaviors of freely moving large-size mammals are valuable for both agriculture and life science, yet challenging due to occlusions in close interactions. Although existing animal pose estimation methods captured keypoint trajectories, they ignored deformable surfaces which contained geometric information essential for social interaction prediction and for dealing with the occlusions. In this study, we develop a Multi-Animal Mesh Model Alignment (MAMMAL) system based on an articulated surface mesh model. Our self-designed MAMMAL algorithms automatically enable us to align multi-view images into our mesh model and to capture 3D surface motions of multiple animals, which display better performance upon severe occlusions compared to traditional t

SUBMITTER: An L 

PROVIDER: S-EPMC10673844 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature