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Dynamic gesture recognition system and method

A dynamic gesture and recognition system technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as lost targets, low tracking accuracy, and excessive calculation, and achieve the effect of high-precision dynamic gesture recognition

Inactive Publication Date: 2013-02-20
SHANGHAI DIANJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the 3D model has a high feature vector dimension, the amount of calculation is too large, and the tracking accuracy is not high or even the target is lost due to the continuous accumulation of errors during the tracking process.

Method used

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  • Dynamic gesture recognition system and method

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Embodiment Construction

[0039] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0040] figure 1 It is a system architecture diagram of a dynamic gesture recognition system of the present invention. like figure 1 As shown, a dynamic gesture recognition system of the present invention at least includes: a static gesture recognition module 10 and a dynamic gesture tracking module 11 .

[0041] Among them, the static gesture recognition module 10 uses the inter-frame dif...

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Abstract

The invention discloses a dynamic gesture recognition system and a dynamic gesture recognition method. The dynamic gesture recognition method comprises the following steps of: detecting a motion area so as to obtain a skin color area; obtaining the position and the size of the centre of the palm in a hand-shaped area given by a skin color classifier by utilizing distance transformation; calculating the positions of the fingers and the position of a greatest defect by utilizing a convex hull and an outline of a gesture; forming a feature vector according to hand-shaped characteristics; selecting a plurality of normal human hand samples and a plurality of secondary samples to serve as training samples, learning by utilizing a support vector machine (SVM) classifier, and performing the gesture recognition on a video frame through the learned classifier; and performing hand shape tracking by utilizing an affine transformation-based image block matching method. According to the method, the aim of rapidly and dynamically recognizing the gesture with high precision can be fulfilled.

Description

technical field [0001] The present invention relates to a dynamic gesture recognition system and method, in particular to a dynamic gesture recognition system and method based on invariant structural features. Background technique [0002] There are mainly two existing gesture recognition methods, one is a 3D model-based gesture model method, and the other is an appearance-based gesture model method. The gesture model based on the 3D model is to determine the position and joint angle of the palm, which can reflect the local details of the gesture. Generally, the 3D model is mapped to the image plane, and the motion parameters of the model are searched and matched. However, since the 3D model has a very high dimensionality of feature vectors, the amount of calculation is too large, and the tracking accuracy is not high or even the target is lost due to the continuous accumulation of errors during the tracking process. Appearance-based gesture models can be divided into regio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/66G06K9/46
Inventor 赵莹
Owner SHANGHAI DIANJI UNIV
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