Human body action identification method for motion information imaging

A technology for human action recognition and motion information, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as inability to recognize whole body motion, and achieve the effect of low number of learning samples and strong robustness

Inactive Publication Date: 2013-09-18
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

The main reason for the inability to recognize complex whole-body motion is that useless information is extracted or too much

Method used

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  • Human body action identification method for motion information imaging
  • Human body action identification method for motion information imaging
  • Human body action identification method for motion information imaging

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Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0043] This embodiment provides a human action recognition method based on motion information visualization, and the specific steps are:

[0044] The first step: use the human motion capture instrument to obtain the human motion learning sample matrix;

[0045] Each sample matrix M contains a complete action. The size of all sample matrices is the same, which is 3P*T, where P is the number of joints captured by the human motion capture instrument, T is a fixed number of frames, and each column da...

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Abstract

The invention provides a human body action identification method for motion information imaging. The method comprises the steps of S1, utilizing a human body action capturing instrument to acquire human body motion study sample matrixes; S2, converting all the study sample matrixes into a gray scale image with the size of 3P*T; S3, placing the gray scale image obtained in the step 2 into a PCA image recognizer for studying; S4, utilizing the human body action capturing instrument to acquire the to-be-identified human body motion sample matrix; S5, converting the to-be-identified matrix into a gray scale image with the size of 3P*T; S6, placing the gray scale image obtained in the step 5 into the PCA image recognizer well studied in the step 3 for identification; and S7, taking the identification result of the to-be-identified human body motion sample in the step 4 as the identification result generated in the step 6. The human body action identification method for motion information imaging is capable of improving the accuracy and robustness of the whole-body human body motion identification, and adjusting the robustness on action identification in a certain range according to different real-time fields.

Description

technical field [0001] The present invention relates to a human body action recognition method, in particular to a human body action recognition method in which motion information is visualized. Background technique [0002] Human action recognition technology has become a hot topic in the field of human-computer interaction because of its wide demand in security monitoring, military training or entertainment games. Human action recognition technology can be divided into two categories, which are recognition technology based on motion video captured by camera and recognition technology based on human joint motion information. The former directly performs image recognition and template matching on pictures containing human motion, while the latter performs mathematical processing and machine learning on the space-time matrix of human joint motion information, or uses state machine methods to directly define actions. [0003] There are also motion recognition methods in the p...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 周易汪天雄牛牧青
Owner SHANGHAI JIAO TONG UNIV
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