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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

Drory, Ami

Description

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]

CollectionsOpen Access Theses
Date published: 2017
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/129415

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