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Gesture recognition method and system

A gesture recognition and gesture technology, applied in the field of gesture recognition methods and systems, can solve problems such as low recognition accuracy, achieve good recognition effects and improve accuracy

Inactive Publication Date: 2016-11-23
LETV HLDG BEIJING CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventor found that these methods in the prior art often have low recognition accuracy when the external environment is similar to the skin color scene, and the picture quality is blurred

Method used

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  • Gesture recognition method and system
  • Gesture recognition method and system

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Embodiment Construction

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0020] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0021] The invention is applicable to numerous general purpose and special purpose computing system environments or configurations. Examples: personal computers, server compute...

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Abstract

The invention provides a gesture recognition method and system and relates to the technical field of computer vision. The gesture recognition method includes: performing multidirectional gradient extraction on an input image to form multiple different gradient images; recognizing the gradient images on the basis of a convolutional neural network pyramid to acquire an initial result set; combining the initial result set obtained by recognition to obtain a final recognition result of a gesture. Further, due to on the basis of the multidirectional gradient images describing the gesture image, ideas of a neural network and evidence theory combined recognition are integrated, so that gesture recognition accuracy is improved fully, and good recognition effect can be realized even if outside environment is similar to skin color scene and image quality is blurry.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a gesture recognition method and system. Background technique [0002] Now is basically the era of mouse, keyboard and touch, but another gesture control technology is emerging. The principle of this technology is very simple, that is, the camera captures gestures, and then uses gestures to control the operation of the machine. It can free people from the space constraints of keyboard, mouse and touch. [0003] In the human-computer interaction scene based on image recognition, effective recognition of gestures can effectively operate the machine and give users a good operating experience. This is very important for product stability and wide promotion. [0004] At present, there are many studies on gesture recognition, and many corresponding methods have emerged, including template matching methods, clustering classification methods, and feature comparison meth...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06K9/00
CPCG06F3/017G06V40/20
Inventor 公绪超
Owner LETV HLDG BEIJING CO LTD
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