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Multi-view human motion capture method based on keypoint clustering

A technology of human body movement and key points, applied in the computer field, can solve problems such as inefficient association process and insufficient consideration of human body geometric information, and achieve the effect of improving accuracy and robust clustering results

Active Publication Date: 2022-04-26
ZHEJIANG UNIV
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  • Abstract
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  • 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 motion capture method based on keypoint clustering
  • Multi-view human motion capture method based on keypoint clustering
  • Multi-view human motion capture method based on keypoint 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] Such as 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 sy...

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Abstract

The invention discloses a multi-view human motion capture method based on key point clustering. The implementation of the present invention includes: detecting the key points of the human body in multi-viewpoint images; establishing the relationship diagram of the key points of the human body based on image information and geometric relationships; Correlation, to find the key points belonging to the same person; based on the key point correlation results, restore the three-dimensional position of each key point of the human body. The invention uses an efficient and robust key point clustering method to establish the association of human body key points in images of different viewpoints, thereby improving the efficiency and accuracy of the multi-viewpoint human motion capture method.

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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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/10G06K9/62G06V10/762
CPCG06V40/103G06F18/23213
Inventor 周晓巍鲍虎军帅青方琦
Owner ZHEJIANG UNIV
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