Koopman pose predictions for temporally consistent human walking estimations. (arXiv:2205.02737v2 [cs.CV] UPDATED)

We tackle the problem of tracking the human lower body as an initial step
toward an automatic motion assessment system for clinical mobility evaluation,
using a multimodal system that combines Inertial Measurement Unit (IMU) data,
RGB images, and point cloud depth measurements. This system applies the factor
graph representation to an optimization problem that provides 3-D skeleton
joint estimations. In this paper, we focus on improving the temporal
consistency of the estimated human trajectories to greatly extend the range of …

arxiv consistent estimations human predictions