GESTURE RECOGNITION METHODS AND SYSTEMS
First Claim
1. A method of gesturing recognition comprising:
- providing a plurality of gesture templates, wherein each gesture template defines a first gesture characteristic and a specific gesture corresponding to the first gesture characteristic;
obtaining a plurality of images;
generating a multi-background model according to the images;
obtaining at least one object image according to the multi-background model, wherein the object image includes at least an object having a plurality of edges;
gathering statistics of the included angles of any two adjacent edges of the object image to obtain a second gesture characteristic corresponding to the object image;
comparing the second gesture characteristic of the object image with the first gesture characteristic of each gesture template; and
when the second gesture characteristic is similar to the first gesture characteristic, obtaining the specific gesture corresponding to the first gesture characteristic.
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Abstract
Gesture recognition methods and systems are provided. First, a plurality of gesture templates are provided, wherein each gesture template defines a first gesture characteristic and a corresponding specific gesture. Then, a plurality of images is obtained, and a multi-background model is generated accordingly. At least one object image is obtained according to the multi-background model, wherein the object image includes at least an object having a plurality of edges. The included angles of any two adjacent edges of the object image are gathered as statistics to obtain a second gesture characteristic corresponding to the object image. The second gesture characteristic of the object image is compared with the first gesture characteristic of each gesture template. The specific gesture corresponding to the first gesture characteristic is obtained, when the second gesture characteristic is similar to the first gesture characteristic.
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Citations
16 Claims
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1. A method of gesturing recognition comprising:
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providing a plurality of gesture templates, wherein each gesture template defines a first gesture characteristic and a specific gesture corresponding to the first gesture characteristic; obtaining a plurality of images; generating a multi-background model according to the images; obtaining at least one object image according to the multi-background model, wherein the object image includes at least an object having a plurality of edges; gathering statistics of the included angles of any two adjacent edges of the object image to obtain a second gesture characteristic corresponding to the object image; comparing the second gesture characteristic of the object image with the first gesture characteristic of each gesture template; and when the second gesture characteristic is similar to the first gesture characteristic, obtaining the specific gesture corresponding to the first gesture characteristic. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A gesture recognition system, comprising:
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a storage unit storing a plurality of images and a plurality of gesture templates, wherein each gesture template defines a first gesture characteristic and a specific gesture corresponding to the first gesture characteristic; and a processing unit generating a multi-background model according to the images, obtaining at least one object image according to the multi-background model, wherein the object image includes at least an object having a plurality of edges, gathering statistics of the included angles of any two adjacent edges of the object image to obtain a second gesture characteristic corresponding to the object image, comparing the second gesture characteristic of the object image with the first gesture characteristic of each gesture template, and obtaining the specific gesture corresponding to the first gesture characteristic when the second gesture characteristic is similar to the first gesture characteristic. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A machine-readable storage medium comprising a computer program, which, when executed, causes a device to perform a gesture recognition method, wherein the device has a plurality of images and a plurality of gesture templates, wherein each gesture template defines a first gesture characteristic and a specific gesture corresponding to the first gesture characteristic, and the method comprises:
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generating a multi-background model according to the images; obtaining at least one object image according to the multi-background model, wherein the object image includes at least an object having a plurality of edges; gathering statistics of the included angles of any two adjacent edges of the object image to obtain a second gesture characteristic corresponding to the object image; comparing the second gesture characteristic of the object image with the first gesture characteristic of each gesture template; and obtaining the specific gesture corresponding to the first gesture characteristic when the second gesture characteristic is similar to the first gesture characteristic.
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Specification