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Many advanced motion control strategies developed in robotics use captured human motion data as valuable source of examples to simplify the process of programming or learning complex robot motions. Direct and online control of robots from observed human motion has several inherent challenges. The most important may be the representation of the large number of mechanical degrees of freedom involved...
Capturing pose from observation can be an intuitive interface for humanoid robots. In this paper, a method is presented for estimating human pose from a sequence of images taken by a single camera. The method is based on a machine learning technique and it partitions human body into a number of clusters. Body parts are tracked over the image sequence while satisfying body constraints. An active sensing...
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