System and method for recognizing hand gesture
AssigneeKorea Electronics Technology Institute
InventorsYang Keun Ahn, Young Choong Park
Life of this patent
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Abstract
Provided is a hand gesture recognition technique. A hand gesture recognition system according to one aspect of the present invention includes an image capturing unit that captures an image of a gesture recognition region to acquire a depth image; a hand region extractor that extracts a hand region from the depth image; and a hand gesture recognizer that analyzes the extracted hand region to recognize a hand gesture included in the depth image as a grasp gesture or a release gesture.
Claims10
A hand gesture recognition system comprising:
- an image capturing unit that captures an image of a gesture recognition region to acquire a depth image;
- a hand region extractor that extracts a hand region from the depth image;
- and
- a hand gesture recognizer that analyzes the extracted hand region to recognize a hand gesture included in the depth image as a grasp gesture or a release gesture, wherein the hand region extractor primarily binarizes the depth image, determines a hand region from the primarily binarized depth image, secondarily binarizes the determined hand region, and finally extracts the hand region,
- wherein the hand region extractor compares hand region candidates detected by applying a labeling algorithm to the primarily binarized depth image and a preset threshold, and determines a hand region candidate which is greater than or equal to the threshold as the hand region, and
- wherein the hand region recognizer adaptively binarizes the extracted hand region to detect gesture recognition regions, and recognizes the hand gesture as a release gesture or a grasp gesture on the basis of the number of the extracted gesture recognition regions.
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A method of recognizing a hand gesture comprising:
- acquiring a depth image by capturing an image of a gesture recognition region;
- analyzing the depth image and determining whether a hand region is extracted;
- detecting gesture recognition regions by adaptively binarizing an extracted hand region when the hand region is extracted;
- and
- recognizing a hand gesture included in the depth image as a release gesture or a grasp gesture on the basis of the number of the extracted gesture recognition regions, wherein the determining of whether a hand region is extracted includes primarily binarizing the depth image, determining a hand region from the primarily binarized depth image, secondarily binarizing the determined hand region, and finally extracting the hand region,
- wherein the determining of whether a hand region is extracted includes comparing hand region candidates detected by applying a labeling algorithm to the primarily binarized depth image and a preset threshold, and determining a hand region candidate which is greater than or equal to the threshold as the hand region, and
- wherein the recognizing includes determining whether the number of the gesture recognition regions is greater than or equal to a preset value, and, when the number of the gesture recognition regions is greater than or equal to the preset value, recognizing the hand gesture as a release gesture, and when the number of the gesture recognition regions is less than the preset value, recognizing the hand gesture as a grasp gesture.
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Dependencies are inferred from the claim text.