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Dynamic gesture recognition method based on complexion and morphological characteristics

A morphological feature, dynamic gesture technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of irregular hand shape, low gesture recognition recognition rate, difficult to extract features, etc. The effect of high recognition rate

Inactive Publication Date: 2013-01-16
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

[0004] Due to the irregular and flexible shape of the hand, it is difficult to extract features, which also causes the recognition rate of gesture recognition to be low

Method used

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  • Dynamic gesture recognition method based on complexion and morphological characteristics
  • Dynamic gesture recognition method based on complexion and morphological characteristics
  • Dynamic gesture recognition method based on complexion and morphological characteristics

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Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] figure 1 It is the system execution flowchart of the present invention. The hand action recognition system mainly includes a filter noise reduction processing module, a color space conversion module, a skin color threshold processing module, an image morphology processing module, a human hand detection module and an action recognition module.

[0056] Step 1: Initialize, read the video file from the camera, and capture a frame of M×N color image, denoted as S 1 , where M and N are positive integers, representing the number of rows and columns of the image matrix, respectively,

[0057] Step 2: To image S 1 For Gaussian filtering, Gaussian filtering can reduce the noise of the image and improve the quality of the image. The method is as follows: firstly, the Gaussian filter template is determined. The expression of the two-dimensional Gaussian function is: ...

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Abstract

The invention discloses a dynamic gesture recognition method based on complexion and morphological characteristics. The method includes: collecting video images to obtain a current video frame; performing complexion threshold value processing to the collected video frame to obtain a complexion binary image; subjecting the binary image to filtering and noise reduction to improve image quality; detecting and recognizing hand portion in the complexion binary image; recognizing motions of gesture according to gravity position information of the hand portion. The dynamic gesture recognition method based on complexion and morphological characteristics has the advantage of high instantaneity, short response time, capability to being applied to the field of human-computer interaction, low cost due to the fact that the method can be realized through a camera and a computer or processing equipment such as a DSP (digital signal processor), and high stability due to the fact that the method has better processing effect on rotation, translation and deformation of gestures.

Description

technical field [0001] The dynamic gesture recognition method based on skin color and morphological features of the present invention belongs to a method for detecting video information by using a camera, and is mainly used in the fields of human-computer interaction systems, interactive advertising systems, and the like. Background technique [0002] With the computerization of society, the influence of computers in modern society has expanded rapidly. With the gradual improvement of computer performance and the continuous deepening of the use of computers in various fields, high performance, high intelligence and high reliability are generally considered to be the main direction of the current development of computer science. Compared with mouse and keyboard, human-computer interaction based on gesture recognition has great advantages in naturalness and ease of use. The intuitiveness and powerful semantics of gestures make human-computer interaction more flexible, direct a...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
Inventor 路小波江潇曾维理朱周陈伍军
Owner SOUTHEAST UNIV
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