Real-time attitude estimation motion analysis method and system, computer equipment and storage medium

A technology of motion analysis and attitude estimation, applied in the field of computer vision, can solve problems such as joint connections that cannot be distinguished from people, less human body posture estimation, and inability to analyze multiple people at the same time
CN112258555APending Publication Date: 2021-01-22FOSHAN UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
FOSHAN UNIVERSITY
Publication Date
2021-01-22

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Abstract

The invention discloses a real-time attitude estimation motion analysis method and system, computer equipment and a storage medium. The method comprises the following steps: acquiring a real-time video of a user; inputting the video frame into a trained double-branch deep network for feature acquisition to obtain a joint point heat map of a human body and an affinity region between joint points; performing non-maximum suppression on multiple peak values of the joint point thermograph, selecting and obtaining a series of candidate joint points, connecting the candidate joint points with one another to form a bipartite graph, and optimizing the bipartite graph; according to the optimized bipartite graph, performing distortion correction on joint pixel points between adjacent video frames when the user moves in real time, calculating limb angle information, and obtaining limb movement data; and after a consulting instruction sent by the user is received, performing motion analysis on thelimb motion data, and outputting a motion analysis result. According to the invention, the image space features can be more effectively reserved, and unnecessary influence when optimal connection is found between the established joint points is eliminated.
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Description

technical field

[0001] The invention relates to a real-time attitude estimation motion analysis method, system, computer equipment and storage medium, belonging to the field of computer vision. Background technique

[0002] With the implementation of the national fitness program and more and more people participating in various sports, the analysis of human body movement is particularly important. In recent years, with the rapid development of big data and artificial intelligence technology, more and more people use mobile phone videos, applications, etc. as guidance, and wear various expensive equipment to help them correct their exercise posture. Analysis cannot better express the quality of motion, so the method of pose estimation is proposed to analyze the motion standard level of motion video, which provides more space and possibility for the development of motion analysis.

[0003] Pose estimation belongs to the category of computer vision, and specifically refers to ...

Claims

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