Abstract: Disclosed examples generally relate to a method and system for facial masking of imaged subjects performing physical activities. In some examples, the method includes analyzing an image frame of the subject performing a physical activity to identify one or more target joint types, as well as corresponding joint locations; determining joint axial separation distances between same joint types; determining size dimensions for a facial mask to apply to the imaged subject by: identifying the size dimensions of the facial mask in a previous image frame; comparing the joint separation distances in the image frame to the previous image frame; determining a degree of change of an axial distance metric; and adjusting the size dimensions of the facial mask in the previous image frame in proportion to the degree of change to generate updated size dimensions for the facial mask.

Abstract: Embodiments herein generally relate to methods and systems for human motion capture. In at least one embodiment, there is disclosed a method comprising: accessing one or more input 2D image frames of a subject performing a physical activity, wherein for each input 2D image frame, automatically: detecting one or more image portions corresponding to the subject's joints; identifying one or more pre-defined anchors in the image frame; processing the input 2D image frame to generate a modified input 2D image frame by: overlaying a bounding box and one or more reference axis lines over the input 2D image frame to generate the modified 2D image frame; resolving values for the one or more joint-specific angles generated by the intersection of the one or more reference axis lines; applying a joint coupling model to the determine relative joint positions, of the subject's joints, in a transverse and sagittal planes.

Abstract: Embodiments herein generally relate to methods and systems for human motion capture. In at least one embodiment, there is disclosed a method comprising: accessing one or more input 2D image frames of a subject performing a physical activity, wherein for each input 2D image frame, automatically: detecting one or more image portions corresponding to the subject's joints; identifying one or more pre-defined anchors in the image frame; processing the input 2D image frame to generate a modified input 2D image frame by: overlaying a bounding box and one or more reference axis lines over the input 2D image frame to generate the modified 2D image frame; resolving values for the one or more joint-specific angles generated by the intersection of the one or more reference axis lines; applying a joint coupling model to the determine relative joint positions, of the subject's joints, in a transverse and sagittal planes.