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Multi-view human body motion capture method based on key point clustering

A technology of human motion and key points, applied in the computer field, can solve the problems of inefficient association process and insufficient consideration of human body geometry information.

Active Publication Date: 2020-10-20
ZHEJIANG UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

This method does not fully consider the geometric information of the human body, making the association process not efficient enough

Method used

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  • Multi-view human body motion capture method based on key point clustering
  • Multi-view human body motion capture method based on key point clustering
  • Multi-view human body motion capture method based on key point clustering

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Embodiment Construction

[0020] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0021] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0022] like figure 1 As shown, the present invention provides a multi-viewpoint human motion capture method based on key point clustering, and performs three-dimensional key point reconstruction based on key point positions obtained from images. The specific steps are:

[0023] 1. Input images collected synch...

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Abstract

The invention discloses a multi-view human body motion capture method based on key point clustering. The method comprises steps of detecting human body key points in a multi-view image; establishing arelational graph of human body key points based on the image information and the geometrical relationship; based on the relation graph of the key points and a clustering algorithm, associating the human body key points under each viewpoint, and finding out the key points belonging to the same person; and restoring the three-dimensional position of each human body key point based on the association result of the key points. The multi-viewpoint human body motion capture method is advantaged in that the association of the human body key points in different viewpoint images is established throughan efficient and robust key point clustering method, and efficiency and accuracy of the multi-viewpoint human body motion capture method are improved.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a multi-viewpoint human motion capture method based on key point clustering. Background technique [0002] In the related multi-view video unmarked multi-person reconstruction technology, some methods use the top-down method to detect the human body first, and then match the human body under each viewpoint. poor performance at times. In the near future, there is also a method to reconstruct the bones of each segment by correlating the bones of each segment of the human body separately, and then merge those belonging to the same person. This method does not fully consider the geometric information of the human body, making the association process not efficient enough. Contents of the invention [0003] The object of the present invention is to address the deficiencies in the prior art, to propose a multi-viewpoint human motion capture method based on key point cl...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06F18/23213
Inventor 周晓巍鲍虎军帅青方琦
Owner ZHEJIANG UNIV
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