Automatic gesture recognition method

An automatic recognition and gesture technology, applied in the field of human-computer interaction and computer vision, which can solve problems such as limitations and complex gestures

Inactive Publication Date: 2014-03-26
HOHAI UNIV
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AI Technical Summary

Problems solved by technology

[0002] Gesture recognition technology is an efficient, direct and natural way of human-computer interaction. However, due to the limitation of technical level and the characteristics of complex, varied and high-speed moving gestures caused by the high degree of freedom of the hand, gesture recognition has become a very One of the challenging research topics

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Embodiment Construction

[0028] Below in conjunction with accompanying drawing, the gesture recognition method that the present invention proposes is described in detail:

[0029] Such as figure 1 Shown, gesture automatic recognition method of the present invention, its step is as follows

[0030] Step 101, collecting gesture video data;

[0031] Step 102, preprocessing each frame of source image in the video data obtained in step 101;

[0032] Step 103, the preprocessed image obtained in step 102 is converted to YCbCr color space by RGB color space;

[0033] Step 104, using the skin color ellipse model to carry out skin detection for the image pixels in the YCbCr color space obtained in step 103, to obtain a binary image;

[0034] Step 105, performing edge detection and contour extraction on the maximum connected domain in the binary image obtained in step 104 to segment gestures to obtain an edge image and a contour matrix;

[0035] Step 106, based on the binary image obtained in step 104 and th...

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Abstract

The invention provides an automatic gesture recognition method. The automatic gesture recognition method comprises the steps that each frame of source image in obtained gesture video data is converted into the YCbCr color space; skin detection is conducted by means of a skin color oval model; gesture division is accomplished by means of connected component analysis, edge detection and contour extraction; feature vector extraction is conducted through gesture analysis, and statistical characteristic parameters such as the image normalization rotational inertia and invariant moment characteristic, shape characteristic parameters such as the peripheral rectangular of a gesture, the direction of the gesture, the circumference of the gesture, the area of the gesture and the scale value of the gesture, and structural characteristic parameters such as the number of fingers and the fact that whether the thumb is included are selected to serve as parameters used for recognizing the gesture; gesture recognition is conducted by means of the template matching method based on Euclidean distance improvement. By the adoption of the automatic gesture recognition method, different gestures can be recognized efficiently, and man-machine interaction mainly based on the efficient, direct and natural gestures can be closer to the communication between people.

Description

technical field [0001] The invention belongs to the fields of human-computer interaction and computer vision, and specifically refers to a gesture automatic recognition method. Background technique [0002] Gesture recognition technology is an efficient, direct and natural way of human-computer interaction. However, due to the limitation of technical level and the characteristics of complex, varied and high-speed moving gestures caused by the high degree of freedom of the hand, gesture recognition has become a very One of the challenging research topics. Contents of the invention [0003] The technical problem to be solved by the present invention is to propose an automatic gesture recognition method in order to overcome the deficiencies of the prior art. The method significantly improves the recognition accuracy and recognition speed of gesture images acquired by a camera. [0004] In order to solve the problems of the technologies described above, the technical solutio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 王敏
Owner HOHAI UNIV
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