Dynamic and static hand gesture recognition through low-level image analysis
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorWilliam T. Freeman
Life of this patent
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Abstract
A low-level model-free dynamic and static hand gesture recognition system utilizes either a 1-D histogram of frequency of occurrence vs. spatial orientation angle for static gestures or a 2-D histogram of frequency of occurrence vs. space-time orientation for dynamic gestures. In each case the histogram constitutes the signature of the gesture which is used for gesture recognition. For moving gesture detection, a 3-D space-time orientation map is merged or converted into the 2-D space-time orientation histogram which graphs frequency of occurrence vs. both orientation and movement. It is against this representation or template that an incoming moving gesture is matched.
Claims7
A machine for detecting a dynamic gesture comprising:
- means for providing a training histogram corresponding to a predetermined gesture;
- means for generating a video image of a gesturing object;
- means for generating a 3-D dynamic gesturing object map corresponding to said video image, points on said image of said dynamic gesturing object each having a local spario-temporal image orientation, said 3-D map including vectors graphing frequency of occurance vs. spatio-temporal orientation;
- means for converting said 3-D map into a 2-D histogram graphing angular orientation of the vectors of said 3-D map against position:
- means for comparing said histograms;
- and,
- means for indicating a match between said histograms, thereby to detect said gesture.
Dependencies are inferred from the claim text.