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Human Performance and Ergonomics
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over poses of a 3D body model. The pose vectors and associated shapes are arranged in a tree, which is constructed by hierarchical pairwise clustering, in order to efficiently evaluate the likelihood in each frame. A new likelihood function based on silhouette matching is proposed that improves the pose estimation of thinnerdoi:10.1016/b978-012322735-5/50012-9 fatcat:xnvj2cjk3vd2dbbkfws63gtuve