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Human hand detection method based on complexion and device

A hand and skin color technology, applied in the field of computer vision, can solve problems such as being easily affected by light, high false detection rate, and low efficiency, and achieve the effect of fast and accurate hand extraction and high-accuracy detection

Inactive Publication Date: 2016-08-24
LE SHI ZHI ZIN ELECTRONIC TECHNOLOGY (TIANJIN) LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a skin color-based human hand detection method and device, which are used to solve the defects of low efficiency, high false detection rate, and very easy to be affected by light in the statistics-based skin color detection and human hand recognition methods in the prior art. High-efficiency and high-accuracy recognition of human hands based on skin color detection, thus further improving the accuracy of gesture recognition

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  • Human hand detection method based on complexion and device
  • Human hand detection method based on complexion and device

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Embodiment 1

[0030] figure 1 It is a technical flow chart of Embodiment 1 of the present invention, combined with figure 1 A method for detecting human hands based on skin color in an embodiment of the present invention includes the following steps:

[0031] Step 110: converting the obtained image to be detected from RGB color space to HSV color space to obtain an HSV image, and converting the image to be detected from RGB color space to r-g color space to obtain an r-g image;

[0032] In order to make the logical description clearer, the following part divides step 110 into two steps: step 111 and step 112. It should be noted that there is no sequence between step 111 and step 112. without limitation.

[0033] Step 111: converting the obtained image to be detected from the RGB color space to the HSV color space to obtain the HSV image;

[0034] The RGB color space obtains a variety of colors by changing the three color channels of red (R), green (G), and blue (B) and superimposing them...

Embodiment 2

[0116] figure 2 It is the technical flow chart of Embodiment 2 of the present invention, combining figure 2 , in the embodiment of the present invention a kind of human hand detection method based on skin color, the training of HSV histogram model is mainly realized by following several steps:

[0117] Step 210: mark the skin area and non-skin area on the sample image to obtain skin pixel samples and non-skin pixel samples;

[0118] The labeling of the samples can be done manually to ensure a high degree of accuracy of the samples.

[0119] Step 220: converting the skin pixel samples and the non-skin pixel samples from RGB color space to HSV color space to obtain skin HSV pixel samples and non-skin HSV pixel samples;

[0120] The specific implementation formula and technical effect of converting from the RGB color space to the HSV color space are shown in step 110 of the first embodiment, and will not be repeated here.

[0121] Step 230: counting the HSV values ​​of the s...

Embodiment 3

[0130] image 3 It is the technical flowchart of Embodiment 3 of the present invention, combining figure 2 , in a kind of human hand detection method based on skin color in the embodiment of the present invention, the establishment of mixed Gaussian model (GMM) mainly comprises the following steps:

[0131] Step 310: mark the skin pixel area and non-skin pixel area of ​​the RGB sample image to obtain skin pixel samples and non-skin pixel samples;

[0132] In the embodiment of the present invention, the RGB sample picture is first marked, which may be artificial, to distinguish the skin area and non-skin area in the picture, that is, to obtain skin pixel samples and non-skin pixel samples. Classifying the samples in advance helps to improve the efficiency of the subsequent EM algorithm in calculating the parameters of the mixed Gaussian model and the closeness of the parameters to the actual model.

[0133] Step 320: converting the skin pixel samples and non-skin pixel sampl...

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Abstract

The invention provides a human hand detection method based on complexion. Acquired image to be detected is converted from an RGB color space to an HSV color space to acquire an HSV image. The image to be detected is converted from the RGB color space to an r-g color space to acquire an r-g image. The HSV image is converted into a first binary image. The r-g image is converted into a second binary image. Step-by-step operation is carried out on first and second binary images to acquire a comprehensive binary image. The comprehensive binary image is filtered to acquire an optimized binary image. The largest communication region in the optimized binary image is analyzed and is used as a skin region. A pre-trained K neighbor classifier is used to determine whether the largest communication region is hand-shaped to realize human hand recognition. The detection speed is fast. Human hand erroneous detection in gesture recognition is effectively solved.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer vision, in particular to a method and device for detecting human hands based on skin color. Background technique [0002] In various human-related machine vision systems, gesture recognition has been paid more and more attention. For example, in gesture-based human-computer interaction systems, it is necessary to first obtain the position of the hand in the image. At present, the most commonly used method is to obtain gesture information by detecting skin color. Segmenting the hand from the image, the most commonly used segmentation method is based on skin color segmentation. [0003] Depending on whether imaging is involved, methods for skin color detection are divided into two basic types: statistical-based methods and physically-based methods. The skin color detection method based on statistics is mainly through the establishment of a skin color statistical model for skin color d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/38G06K9/40G06K9/62
CPCG06V40/11G06V10/28G06V10/30G06F18/253
Inventor 李艳杰
Owner LE SHI ZHI ZIN ELECTRONIC TECHNOLOGY (TIANJIN) LTD
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