Gesture recognition method and system based on fixed background

A gesture recognition and background technology, applied in the field of computer vision, can solve problems such as high hardware configuration requirements and large amount of calculation, achieve low hardware configuration requirements, good robustness, and solve the effect of recognition and attitude estimation

Inactive Publication Date: 2019-01-15
SHENYANG SIASUN ROBOT & AUTOMATION
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Problems solved by technology

[0003] The present invention aims to overcome the technical defects of the existing gesture recognition system, which has a large amount of c

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  • Gesture recognition method and system based on fixed background
  • Gesture recognition method and system based on fixed background

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[0049] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0050] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, but not necessarily Describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appro...

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Abstract

The invention relates to the technical field of computer vision, and particularly discloses a gesture recognition method based on a fixed background. The gesture recognition method comprises the following steps that S1, a gesture recognition background is fixed as a black background, and black background modeling is carried out; S2, an image generated when a hand of people extend into is obtained,and based on an established background model, a foreground image of the hand of people is obtained by using background subtraction; S3, convex hull and convex defect detection is carried out on the hand of people in the foreground image, and a current general gesture of the hand of people is obtained; S4, a framework of the hand of people is obtained by utilizing an image thinning algorithm, a basic structure of the hand of people is obtained, and thus the current closing degree of the hand of people is estimated; and S5, a palm of a robot is controlled to close according to the current closing degree of the hand of people. The gesture recognition method has the beneficial effects that system calculation amount is low, the requirement for hardware configurations is low, fine recognition and gesture estimation of hands of people are effectively achieved, and the closing degree of hands of people can be recognized.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a gesture recognition method and system based on a fixed background. Background technique [0002] Gesture recognition technology is one of the most important human-computer interaction technologies. Through the recognition of human gestures, robots can better understand human intentions and commands. Today's commonly used gesture recognition technology is implemented by using a 3D camera, and the unique depth information of the 3D camera is used to simplify the processing of gesture recognition and tracking. Commonly used 3D cameras include Microsoft's Kinect, Intel's RealSense sensor, etc., and the SDKs of these two have their own gesture recognition technologies for use. However, in order to use two kinds of sensors, the hardware board needs to have a very high configuration, which increases the difficulty of integration while increasing the cost of the robot. At the...

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Application Information

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IPC IPC(8): B25J9/16B25J3/00G06K9/00
CPCB25J3/00B25J9/1697G06V40/28
Inventor 邹风山徐方姜楠宋健李邦宇潘鑫
Owner SHENYANG SIASUN ROBOT & AUTOMATION
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