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Gesture recognition method and gesture recognition device

A gesture recognition and recognition technology, applied in the field of human-computer interaction, can solve the problem of low accuracy and achieve the effect of high accuracy and high precision

Active Publication Date: 2015-05-06
SHENZHEN ORBBEC CO LTD
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AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a gesture recognition method and device for the low accuracy of existing non-contact gesture recognition methods, which can recognize gestures in images based on depth information and color information, and then effectively improve the accuracy of gesture recognition

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0048] see figure 1 , is a flowchart of a gesture recognition method according to a preferred embodiment of the present invention. Such as figure 1 As shown, the gesture recognition method provided by the preferred embodiment of the present invention includes a training step and a recognition step:

[0049] Wherein, the training step further includes steps S1-S4.

[0050] First, in step S1, images to be trained with depth information and color information are acquired synchronously. This step can be realized by a depth camera, at least one color camera and a camera fixing assembly. The synchronous control of images collected by the depth camera and the color camera is realized through the controller. In this step, a depth camera may be used in...

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Abstract

The invention relates to a gesture recognition method and a gesture recognition device. The gesture recognition method comprises a training step and a recognition step, wherein the training step comprise the sub-steps of: S1, synchronously acquiring a to-be-trained image with depth information and color information; S2, based on the depth information, determining a primary hand outline; S3, based on color information, determining a precise hand outline; S4, calling the depth information and the color information of the precise hand outline, determining a weighted average by self-adaption weighting to establish a three-dimensional gesture model, and training the three-dimensional gesture models of a plurality of to-be-trained images by using a classifier method to obtain an optimized three-dimensional gesture model. The recognition step is the same as the extraction mode of hand outline, and the optimized three-dimensional gesture model can be obtained according to S4, and the corresponding three-dimensional gesture is recognized. By using the depth information and the color information for recognition, the method has the advantages of high accuracy and high precision.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, and more specifically, to a gesture recognition method and device. Background technique [0002] In the field of human-computer interaction technology, gesture control, as a new type of human-computer interaction, has the advantages of friendliness and other aspects. Currently, there are two main recognition methods for contactless gestures: [0003] The first is a recognition method based on a two-dimensional image with color information, which mainly acquires a grayscale image or a color image of the target, and recognizes gestures through edge detection or skin color threshold detection. The advantage of this two-dimensional image recognition method is that the resolution of the target image is relatively high. However, it is easily affected by the background and ambient light, and also by the distance between the target and the camera. In addition, when the target...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F3/017G06F18/29G06F18/214
Inventor 肖振中许宏淮刘龙黄源浩
Owner SHENZHEN ORBBEC CO LTD
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