A Review of Deep Learning Techniques for Markerless Human Motion on Synthetic Datasets. (arXiv:2201.02503v1 [cs.CV])

Markerless motion capture has become an active field of research in computer
vision in recent years. Its extensive applications are known in a great variety
of fields, including computer animation, human motion analysis, biomedical
research, virtual reality, and sports science. Estimating human posture has
recently gained increasing attention in the computer vision community, but due
to the depth of uncertainty and the lack of the synthetic datasets, it is a
challenging task. Various approaches have recently been proposed to solve …

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