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- W1973413761 abstract "This paper describes a humanoid robot system that can capture and mimic the motion of human body parts in real-time. The underlying vision system is able to automatically detect and track human body parts such as hands and faces in images captured by the robot's eyes. It is based on a probabilistic approach that can detect and track multiple blobs in a 60-Hz stereo image stream on a standard dual processor PC. A random jerk model is employed to approximate the observed human motion and a Kalman filter is used to estimate its parameters (three-dimensional positions, velocities and accelerations). This enables the system to realistically mimic the perceived motion in real-time." @default.
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- W1973413761 date "2003-01-01" @default.
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- W1973413761 title "Online tracking and mimicking of human movements by a humanoid robot" @default.
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- W1973413761 doi "https://doi.org/10.1163/156855303321165114" @default.
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