Metadata for publication "Comparison of marker-less 2D image-based methods for infant pose estimation"

Read full text
Authors: Lennart Jahn
Cited by: 0

Abstract

This study compares the performance of available generic- and specialized infant-pose estimators for a video-based automated general movement assessment (GMA), and the choice of viewing angle for optimal recordings, i.e., conventional diagonal view used in GMA vs. top-down view. 4500 annotated video-frames from 75 recordings of infant spontaneous motor functions from 4 to 16 weeks were used. The models retrained on infant data are published on Zenodo: https://doi.org/10.5281/zenodo.14833182

Fields of Study & Subjects

Human Pose and Action Recognition Face recognition and analysis Hand Gesture Recognition Systems

Publication details

Journal / source
Göttingen Research Online
Publication date
20 January 2026
Document type
Dataset