My research proposal, “Markerless 3D Human Motion Inference Framework from 2D Videos using Deep Learning,” has been selected for funding. This project is scheduled to start in May 2020 and end in December 2021.
https://umdearborn.edu/news/all-news/articles/update-office-research-april-2020
The project descriptions can be found at https://bimi.jrkwon.com/markerless-3d-human-motion-inference-framework-from-2d-videos-using-deep-learning/
Fig. 1. System overview. The proposed system has two sub-sections: 3D pose estimator from 2D video input (top) and gait feature extractor (bottom). (a) 2D input video, (b) 2D pose estimator, (c) extracted 2D joint points, (d) skeletal data of human pose, (e) skeletal model converter, (f) 2D joint points for 3D estimation, (g) 3D pose estimator, (h) 3D joint points, (i) feature extractor, (j) feature data, and (k) applications.