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Posture recognition method and device, electronic equipment and computer readable medium

A recognition method and gesture technology, applied in the field of gesture recognition methods, electronic equipment and computer-readable media, and devices, can solve problems such as poor recognition effect, and achieve the steps of accurate extraction, simplified data preprocessing, and manual feature extraction. , to avoid identifying inaccurate effects

Pending Publication Date: 2022-05-13
CCB FINTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present application provides a gesture recognition method, device, electronic equipment and computer-readable medium, which can solve the existing problem of hand gesture recognition through a deep convolutional neural network affected by various external factors. The problem of poor performance

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  • Posture recognition method and device, electronic equipment and computer readable medium
  • Posture recognition method and device, electronic equipment and computer readable medium
  • Posture recognition method and device, electronic equipment and computer readable medium

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Embodiment Construction

[0065] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. The acquisition, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.

[0066] figure 1 is a schematic diagram of the main flow of the gesture recognition method according to the first embodiment of the present application, such as figure 1 As shown, gesture recognit...

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PUM

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Abstract

The invention discloses a posture recognition method and device, electronic equipment and a computer readable medium, and relates to the technical field of artificial intelligence, in particular to the technical field of machine vision and image recognition, and the method comprises the steps: receiving a posture recognition request, and obtaining a corresponding to-be-recognized image and a target feature; determining a bounding box from the to-be-recognized image according to the target feature; generating key points of the to-be-recognized image in the bounding box; generating a blank background image based on the bounding box, mapping the key points into the blank background image, and further generating a skeleton image; and obtaining a predicted attitude according to the key points and the skeleton diagram, and determining an attitude type according to the predicted attitude. The influence of inaccurate recognition caused by environmental factors is avoided, and the method is suitable for classification recognition tasks of complex postures under different background brightness.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, specifically to the technical fields of machine vision and image recognition, and in particular to a gesture recognition method, device, electronic equipment and computer-readable medium. Background technique [0002] At present, gesture recognition based on physical rules needs to manually pre-define a set of rules according to different application scenarios and requirements to classify the key points of the gesture. Judging only based on the bending or stretching state of the finger is only applicable to simple gestures and cannot be effective. Judgment and recognition of complex gestures. Relying only on the deep convolutional neural network for feature extraction of hand contours will be limited by a variety of external factors, which is not conducive to good hand feature extraction. When there are finger overlaps, the extracted hand features are input into the dept...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/10G06V10/25G06V10/44G06V10/764G06V10/774G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2431G06F18/214
Inventor 丁祎
Owner CCB FINTECH CO LTD