Shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry

A technology for human body contour and action recognition, applied in character and pattern recognition, instruments, computer components, etc., can solve problems affecting human interaction experience

Inactive Publication Date: 2010-08-04
ZHEJIANG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing relatively mature motion recognition technology, it mainly relies on some special hardware devices, such as motion capture equipment, but it needs to paste markers on the human body to record the three-dimensional position information of the person to recognize the motion, which is very influential. human interaction experience
Motion recognition without markers is a good alternative. It does not require addition

Method used

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  • Shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry
  • Shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry
  • Shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry

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Embodiment

[0068] The steps of the shooting action recognition method based on human body contour image extraction and group motion image query are as follows:

[0069] 1) if Figure 1a and Figure 1b First use the motion capture equipment to collect various shooting actions, then put these actions into the database, and then follow the figure 2 These actions are divided into four groups according to the way (left and right hands and single hands of the action), and each action in the database must belong to one of the groups. Finally, a motion graph is constructed in each group. The way to construct the motion graph is: disassemble all the actions in the group into a frame-by-frame pose, represent it as a node on the graph, and calculate the three-dimensional skeleton between any two poses. Distance, expressed as a line connecting two nodes;

[0070] 2) The pose represented by each node in each group is rendered into a two-dimensional image, such as figure 2 The image on the middle ...

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Abstract

The invention discloses a shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry. The method includes the following steps: shooting action is acquired into database in advance and is grouped by class, each group constructs a motion diagram, all the actions are rendered into two-dimensional image under multi-angle and then key characteristic is extracted, and image characteristic value of each gesture is calculated. Accurate outline extraction is carried out on shooting picture sequence shot in operation when a person is shooting, characteristic value of skeleton map is calculated, the group in which the gesture most similar to the characteristic value thereof is located is found in database and is taken as a hit group, the group with the most hit in all the skeleton hit of the shooting action is found, then the node where the gesture the most similar to the characteristic value of each skeleton map on the motion diagram is located is found, the points are analyzed and repaired into a continuous section, and the continuous section is taken as action identification result. The invention can fast and accurately identify shooting action only by utilizing an image capturing device.

Description

technical field [0001] The invention relates to a shooting action recognition method based on human body contour image extraction and grouped motion map query, in particular to a method for recognizing a person's shooting action through a motion map composed of a human body contour image and a person's shooting action data. Background technique [0002] Human motion recognition technology has always been a research hotspot in the field of computer vision. Its research purpose is to enable machines to recognize human actions, including body posture, gestures, etc. It is also a brand-new way of human-machine interaction. The interaction does not pass through hardware devices attached to people such as markers, but only through the movement of people themselves. It has a wide range of potential applications in industrial applications. In addition, it also has great prospects and has even been applied in digital entertainment industries such as film and television and games. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/64
Inventor 耿卫东魏知晓
Owner ZHEJIANG UNIV
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