Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth
Motivation. In Biomechanics, musculoskeletal models yield information that cannot be non-invasively obtained by direct measurement based on skeletal kinematics. Unsatisfactorily, obtaining accurate skeletal kinematics is limited to either user manual labelling or marker-based motion capture systems (MoCaps) that are limited by expansive infrastructure, environmental conditions, obtrusive markers causing movement impediment and occlusion errors. Moreover, they...[Show more]
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