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Human body posture estimation method and device

A technology of human body posture and human body, applied in the field of image processing, can solve the problems of interference of key point recognition results of human body, low accuracy of human body posture estimation, inability to effectively distinguish background and human body, etc., to achieve the effect of improving accuracy

Pending Publication Date: 2022-03-15
BEIJING ESWIN COMPUTING TECH CO LTD
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Problems solved by technology

This traditional human body pose estimation method has the following defects: the extraction of human body features is mainly based on the artificially set neural network model, and the recognition results of the neural network model largely depend on the shooting environment of the infrared image. Conditions such as occlusion, light intensity, and changes in viewing angle will interfere with the recognition results of key points of the human body. Especially when there is occlusion in the infrared image, the neural network model cannot effectively distinguish the background from the human body, and the overlap between the human body and the human body. lead to lower accuracy of human pose estimation

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  • Human body posture estimation method and device
  • Human body posture estimation method and device

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[0030] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0031] Human body pose estimation refers to estimating the positions of key points of the human body from two-dimensional images such as infrared images, and finally forming a complete human skeleton structure based on the estimated key points of the human body, which can be applied in such fields as human-computer interaction, visual monitoring and other fields.

[0032] At present, the traditional human pose estimation method usu...

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Abstract

The invention discloses a human body posture estimation method and device, relates to the technical field of image processing, and mainly aims to improve the accuracy of human body posture estimation in an infrared image. According to the main technical scheme, the method comprises the steps that an infrared image is obtained, and the infrared image comprises a human body image and a speckle image; performing human body key point detection on the infrared image to obtain human body key point information corresponding to the human body image; correcting the human body key point information based on the speckle image; and determining a human body posture according to the corrected human body key point information.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for estimating human pose. Background technique [0002] Human body pose estimation technology, which can obtain human body pose based on infrared images, has important application value. Therefore, human body pose estimation technology is gradually applied in fields such as human-machine collaboration, video surveillance, film and television production, and industrial and agricultural production. [0003] At present, the traditional human pose estimation method is usually to directly use the deep learning method on the infrared image to obtain the position of the key points of the human body, and obtain the human body pose according to the obtained key points of the human body. This traditional human body pose estimation method has the following defects: the extraction of human body features is mainly based on the artificially set neural netw...

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Application Information

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IPC IPC(8): G06V40/10G06V10/44G06V10/34G06V10/80G06K9/62
CPCG06F18/253
Inventor 王继铭赖俊成邱亮邓帆张笑楠
Owner BEIJING ESWIN COMPUTING TECH CO LTD
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