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Gesture recognition method and device based on deep learning

A technology of gesture recognition and deep learning, applied in the field of video, can solve the problems of small targets not being robust enough, easy to missed detection and false detection, etc., and achieve the effect of fast and accurate gesture recognition

Inactive Publication Date: 2019-07-05
北京易达图灵科技有限公司
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Problems solved by technology

[0005] The embodiment of the present invention provides a gesture recognition method and device based on deep learning, which is used to solve the technical problems that the gesture recognition method in the prior art is not robust enough for small targets, and it is easy to miss detection and false detection when the targets are concentrated, so as to realize fast and accurate detection. Technical Effects of Accurate Gesture Recognition

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  • Gesture recognition method and device based on deep learning
  • Gesture recognition method and device based on deep learning
  • Gesture recognition method and device based on deep learning

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Embodiment Construction

[0036] 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.

[0037] Human-computer interaction is the process of information exchange between humans and computers or other machines in a certain way. Because of its simple equipment and convenient use, it has become a research hotspot in the field of human-computer interaction in recent years. Gesture recognition methods based on traditional features such as ...

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Abstract

The embodiment of the invention provides a gesture recognition method and device based on deep learning. The method comprises the steps of inputting a to-be-recognized image into a pre-constructed gesture recognition model, wherein the gesture recognition model is obtained based on pre-labeled image samples and YOLOv3 deep learning network training; and based on an output result of the gesture recognition model, obtaining a sub-image containing a gesture in the to-be-recognized image, so that the technical problems that in the prior art, a gesture recognition method is not robust enough for small targets, and missing detection and false detection are prone to occurring when the targets are concentrated are solved, and the technical effect of fast and accurately conducting gesture recognition is achieved.

Description

technical field [0001] Embodiments of the present invention relate to the field of video technology, and in particular to a gesture recognition method and device based on deep learning. Background technique [0002] Human-computer interaction is the process of information exchange between humans and computers or other machines in a certain way. Because of its simple equipment and convenient use, it has become a research hotspot in the field of human-computer interaction in recent years. Gesture recognition methods based on traditional features such as HOG and SIFT have low recognition accuracy, and it is difficult to recognize multiple gesture targets in pictures. At present, most of the research on gesture recognition is to recognize the gestures of a single human hand. In the process of gesture interaction, two-handed operations and other hands often appear. [0003] BACKGROUND OF THE INVENTION Firstly, images are collected through a camera, and gestures are detected by u...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06F18/24G06F18/214
Inventor 袁飞华仁红马向军孙文凤
Owner 北京易达图灵科技有限公司
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