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Skeleton human behavior recognition method, device and equipment

A recognition method and skeleton technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problem of insufficient use of skeleton data information, and achieve the effect of accurate human behavior recognition and elimination of noise information interference.

Pending Publication Date: 2022-06-03
CHINA TELECOM CLOUD TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defect of insufficient use of skeleton data information in the prior art, thereby providing a skeleton human behavior recognition method, device and equipment

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  • Skeleton human behavior recognition method, device and equipment
  • Skeleton human behavior recognition method, device and equipment
  • Skeleton human behavior recognition method, device and equipment

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Embodiment Construction

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0029] The embodiment of the present invention extracts the relevant data of joints and bones based on the skeleton data of the target object, and then fuses them based on the relevant data of the bones of the joints, thereby obtaining an action classification prediction result. In the following embo...

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Abstract

The embodiment of the invention provides a skeleton human behavior recognition method, device and equipment. The skeleton human behavior recognition method comprises the steps of obtaining skeleton data of a target object; joint difference data and skeleton difference data are obtained through calculation based on the key points of the skeleton data; performing feature extraction based on the joint difference data and the skeleton difference data to obtain skeleton data features and skeleton difference data features, and obtaining joint data features and joint difference data features based on the skeleton data features; performing feature data splicing fusion based on the joint data features, the joint difference data features, the skeleton data and the skeleton difference data features to obtain joint splicing features and skeleton splicing features; and performing enhanced fusion on the key position features of different dimension branches with the joint splicing features and the skeleton splicing features to obtain an action classification prediction result. According to the invention, feature recognition is carried out on the detail information of the human body, so that human body behavior recognition is more accurate.

Description

technical field [0001] The invention relates to the technical field of human behavior recognition, in particular to a skeleton human behavior recognition method, device and equipment. Background technique [0002] Human action recognition is a popular research topic in the field of machine vision, which aims to capture and extract the spatial and temporal feature information of human actions, and further determine the types of human actions based on these feature information. The skeleton human action recognition method is a human action recognition method that uses the skeleton data extracted directly or indirectly from the human action as the input data. Compared with RGB video data, skeleton data has the advantages of insensitivity to environmental interference, high effective information density, and small data storage space. [0003] The current skeleton human action recognition method uses Microsoft Kinect sensor to directly collect skeleton data with annotations or u...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/20G06V10/80G06V10/764G06K9/62G06V10/62G06V10/82
CPCG06F18/24G06F18/253
Inventor 邓浩阳柯少杰罗印威张阳何志强
Owner CHINA TELECOM CLOUD TECH CO LTD
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