Dynamic and static hand gesture recognition through low-level image analysis
First Claim
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1. 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.
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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.
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Citations
7 Claims
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1. A machine for detecting a dynamic gesture comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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Specification