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Hand gesture segmentation method based on monocular vision complicated background

A complex background, monocular vision technology, applied in user/computer interaction input/output, instrument, character and pattern recognition, etc., can solve the problem of inability to accurately segment complex background gestures, and achieve the effect of high cost

Inactive Publication Date: 2015-06-03
JILIN JIYUAN SPACE TIME CARTOON GAME SCI & TECH GRP CO LTD
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AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a gesture segmentation method based on monocular vision in a complex background, which is a method for accurately realizing gesture segmentation based on a monocular camera in a complex background, and solves the problem that the existing monocular camera cannot accurately segment Issues with gestures in complex backgrounds

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  • Hand gesture segmentation method based on monocular vision complicated background
  • Hand gesture segmentation method based on monocular vision complicated background
  • Hand gesture segmentation method based on monocular vision complicated background

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Embodiment 1

[0036] join Figure 1 to Figure 8 As shown, the gesture segmentation method based on the monocular vision complex background of the present invention, the specific process is:

[0037] 1. Acquisition of gesture images

[0038] Obtain video stream information through a monocular color camera, and intercept a frame of image in the video stream;

[0039] 2. Selection of color space

[0040] 2.1. Realize image segmentation in RGB color space;

[0041] 2.2. Realize image segmentation in RG color space;

[0042] 2.3. HSV color space realizes image segmentation;

[0043] 2.4, YCbCr color space to achieve image segmentation;

[0044] 3. Color space conversion in skin color detection method

[0045] After selecting the color space, the image needs to be converted from the RGB color space to the selected YCbCr color space. Convert according to formula (1).

[0046] (1)

[0047] 4. Improvement of ellipse model in skin col...

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Abstract

The invention relates to a hand gesture segmentation method based on a monocular vision complicated background and is suitable for hand gesture segmentation in hand gesture recognition in man-machine interaction. The method comprises the following steps of: (1) obtaining a hand gesture image through a monocular camera; (2) selecting a color space; (3) transforming the color space; (4) improving an elliptical model algorithm to extract the skin color information in the hand gesture image; (5) implementing a frame differentiation method to extract a hand gesture area in the skin color information. According to the method, on price, the problem that the cost of Kinect equipment is high is solved through an ordinary RGB camera only; on the aspect of accuracy, the problem that the hand gesture segmentation accuracy based on the monocular camera complicated background is not high is solved, thus a necessary guarantee is provided for man-machine interaction work such as hand gesture recognition, hand gesture control and the like.

Description

technical field [0001] The present invention relates to gesture segmentation technology, especially the segmentation technology in human-computer interaction, especially a gesture segmentation method based on monocular vision under complex background under monocular camera. It can be widely used in somatosensory interaction systems, and can be combined with gesture recognition technology to realize gesture control systems to complete natural interactions in some somatosensory games, leisure and entertainment sports, academic PPT, etc. Background technique [0002] In recent years, with the development of computer technology, human-computer interaction technology has gradually been replaced by natural human body from keyboard and mouse. In view of the intuitive and natural characteristics of gestures, gestures have become an important means of natural human-computer interaction. As a new type of natural interaction technology, gesture recognition based on computer vision i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00
Inventor 郑立国汪欣罗江林谷文娟
Owner JILIN JIYUAN SPACE TIME CARTOON GAME SCI & TECH GRP CO LTD
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