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A learning-based markerless approach for full-body kinematics estimation in-natura from a single image

Drory, Ami; Li, Hongdong; Hartley, Richard


We present a supervised machine learning approach for markerless estimation of human full-body kinematics for a cyclist from an unconstrained colour image. This approach is motivated by the limitations of existing marker-based approaches restricted by infrastructure, environmental conditions, and obtrusive markers. By using a discriminatively learned mixture-of-parts model, we construct a probabilistic tree representation to model the configuration and appearance of human body joints. During...[Show more]

CollectionsANU Research Publications
Date published: 2017-04-11
Type: Journal article
Source: Journal of biomechanics
DOI: 10.1016/j.jbiomech.2017.01.028


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