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A method and system for building an action recognition model

A technology of action recognition and action, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as non-promotable, and achieve the effect of improving the generalizability

Active Publication Date: 2020-01-17
TSINGHUA UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the algorithm is clustered through manual intervention and is not generalizable

Method used

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  • A method and system for building an action recognition model
  • A method and system for building an action recognition model
  • A method and system for building an action recognition model

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Embodiment Construction

[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] figure 1 It is a schematic flowchart of a method for establishing motion recognition provided by an embodiment of the present invention, refer to figure 1 , the method for building an action recognition model, including:

[0050] 101. Acquire a skeleton position sequence of an action sample, and obtain the coordinates of each node in...

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Abstract

The invention discloses a method for establishing an action recognition model, comprising: obtaining a skeleton position sequence of an action sample, and obtaining the coordinates of each node in each action individual according to the skeleton position sequence, and the skeleton position sequence includes multiple nodes; obtain the feature vector of each action individual according to the coordinates of each node, and obtain multiple action categories and the action features of each action category according to the feature vector; according to the action features, establish each action category action recognition model. The present invention realizes the automatic clustering of all action samples by acquiring the feature vector of each action individual, and has the advantage of improving generalizability compared with the clustering performed by manual intervention in the prior art.

Description

technical field [0001] The invention relates to the field of data action analysis, in particular to a method and system for establishing an action recognition model. Background technique [0002] Recognizing human actions from image sequences is a basic problem in the field of pattern recognition and human-computer interaction. It has received more and more attention and made great progress in recent years. Human action recognition has a very wide range of applications in human-computer interaction, healthcare, video surveillance, and entertainment equipment. Depending on the input data, existing action recognition algorithms can be divided into depth map-based algorithms and 3D skeleton-based algorithms. [0003] Depth map-based algorithms take a sequence of depth maps of a scene as input data for action recognition. The foreground segmentation of the depth map is performed to obtain the human body part, and the human body action is recognized by pattern matching on the e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/22
Inventor 王贵锦陈宏钊陈醒濠
Owner TSINGHUA UNIV
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