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This paper proposes a method for 3D whole-body motion recovery and motion recognition from a sequence of occluded monocular camera images based on statistical inference using a motion database. In the motion database, each motion primitive (e.g., walk, kick, etc.) is represented in an abstract statistical form. Instead of extracting rich information by expensive computation of image processing, we...
This paper proposes a 3D motion recovery method from monocular images by statistical inference. The fundamental idea of the paper originates from the mimesis model, inspired by the mirror neuron system. The mimesis model is extended to include motion understanding from monocular image sequences and to imitate whole-body motion patterns in 3D space. In order to achieve this goal, (1) conversion of...
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