Description: real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing.
File list (Check if you may need any files):
pose estimation SIFT VCIP07.pdf
REAL.pdf
Real Time 3D Pointing Gesture Recognition in Mobile Space.pdf
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