Key point detection method of human body posture image

A technology of human posture and detection method, which is applied in the field of image processing, can solve problems such as too large model, unfavorable use, slow prediction speed, etc., and achieve the effect of improving accuracy, improving accuracy, and enriching image features

Pending Publication Date: 2021-03-30
NANTONG UNIVERSITY
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Problems solved by technology

These human body estimation algorithms have effectively improved the accuracy of model recognition, but there are problems with too large models and slow prediction speeds, which are not conducive to practical use.

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  • Key point detection method of human body posture image
  • Key point detection method of human body posture image
  • Key point detection method of human body posture image

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Embodiment Construction

[0025] The technical solutions in the embodiments of the present invention will be apparent from the drawings in the embodiment of the present invention. Obviously, the described embodiments are merely the embodiments of the invention, not all of the embodiments. Based on the embodiments of the present invention, those skilled in the art are in the range of the present invention in the scope of the present invention without all other embodiments obtained without creative labor.

[0026] The disclosure below provides many different embodiments or examples of the invention to achieve different structures of the present invention. To simplify the disclosure of the present invention, the components and arrangements of a particular example are described below. Of course, they are only examples, and the purpose is not to limit the invention. Furthermore, the present invention can repeat the reference numerals and / or reference letters in different examples, which are for simplified and...

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Abstract

The invention provides a key point detection method of a human body posture image. By using an estimation network model provided by the invention, the characteristics are divided into different channels by designing the segmentation channel blocks, so that the image characteristics become richer, and the accuracy of human body posture detection can be effectively improved. Besides, an attitude correction machine is designed, and by improving a channel attention mechanism and a space attention mechanism, a context attention mechanism is introduced to improve the modification effect. The accuracy of human body posture estimation can be effectively improved.

Description

Technical field [0001] The present invention relates to the field of image processing, and more particularly to a key point detection method of a human attitude image. Background technique [0002] Cascaded Pyramid Network (CPN) is a rough to fine network model that completes human attitude estimation by using single context information. Regional Multi-Person Pose Estimation (RMPE) consists of three parts: a symmetric spatial transform network (SSTN), parameter attitude non-polar suppression (NMS), and posture guidance proposal generator (PGPG), by processing inaccurate body positioning frames and Redundant detection effectively improves the accuracy of the human attitude estimate. These human estimates effectively improve the accuracy of model recognition, but there is an excessive model, slower prediction speed, is not conducive to in practice. Inventive content [0003] The present invention provides a key point detection method of a human attitude image, by using the estimat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06V40/20G06N3/045G06F18/214G06F18/241
Inventor 邵叶秦周昆阳张海潮史苏晋唐宇亮高瞻
Owner NANTONG UNIVERSITY
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