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Multi-person posture estimation method based on human body topological structure alignment

A topology and attitude estimation technology, applied in computing, computer components, special data processing applications, etc.

Pending Publication Date: 2021-05-14
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there is no effective multi-person pose estimation method based on human topology alignment in the prior art

Method used

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  • Multi-person posture estimation method based on human body topological structure alignment
  • Multi-person posture estimation method based on human body topological structure alignment
  • Multi-person posture estimation method based on human body topological structure alignment

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Embodiment Construction

[0013] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0014] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be unders...

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Abstract

The invention provides a multi-person posture estimation method based on human body topological structure alignment. The method comprises the steps: taking MS-COCO and MPLL data sets as input to train an HRNet network, and obtaining an XZZNet network; learning image samples of the data set by using an HRNet network to obtain a human body key point image; inputting the SZF data set into an XZZNet network, and generating candidate human body posture key points without sleeves; performing graph matching on the human body key point graph generated by the HRNet network and the candidate human body key point graph generated by the XZZNet network, and performing fine tuning on the XZZNet network by using a cross entropy loss function to obtain an optimized XZZNet network; and inputting the SZF data set into the optimized XZZNet network, generating a key point detection image corresponding to the image in the SZF data set, and obtaining the posture information of each key point of the human body in the image according to the key point detection image. According to the method, the performance of the target domain can be remarkably improved in the images without marks or sparse marks, and all key points of the human body in the images can be accurately distinguished under an unsupervised network learning framework.

Description

technical field [0001] The present invention relates to the technical field of human body behavior analysis, in particular to a multi-person pose estimation method based on human body topological structure alignment. Background technique [0002] In recent years, with the development of information technology and the popularization of intelligent technology, the global scientific and technological revolution is further advancing, and technologies such as cloud computing, Internet of Things, big data and artificial intelligence are also developing rapidly. Among them, human gesture recognition technology has begun to be used in computer Widely used in vision-related fields. [0003] The current hot spot of artificial intelligence technology has very important research significance for human body posture recognition in a fixed situation, and has a certain role in promoting the modernization of our country. Therefore, it is very important to strengthen technical analysis and ju...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06F16/951G06N3/02
CPCG06F16/951G06N3/02G06V40/23G06V40/103G06F18/214
Inventor 李浥东郎丛妍孙鑫雨冯紫钰赵治坤汪敏
Owner BEIJING JIAOTONG UNIV