Action feature representation method fusing rotation quantity

Abstract

The invention discloses an action feature representation method fused with rotation quantity. The action feature representation method specifically comprises the following steps that step 1, using a Microsoft Kinect2.0 infrared depth sensor for collecting human body skeleton information and human body topological structure information with SpineBase as a root node; step 2, calculating to obtain ahuman body posture matrix group according to the coordinates of the human body skeleton joint points in the step 1; step 3, according to the human body topology structure information and the coordinates of the human body skeleton joint points in the step 2, the rotation amount of the child skeleton joint points relative to the parent skeleton joint points is obtained through quaternion calculation, and 4, combinding the rotation amount in the step 3 with the human body posture matrix set in the step 2, and establishing an action feature representation method fusing the rotation amount. According to the action feature representation method fusing the rotation amount, interference between similar action classes can be effectively avoided, and the purpose of improving the accuracy of action recognition is achieved.

Description

technical field [0001] The invention belongs to the technical field of motion recognition, and in particular relates to a motion feature representation method that integrates rotation amounts. Background technique [0002] The development of computer image processing technology puts forward higher requirements for the accuracy of action recognition. Action recognition technology has been widely used in many aspects such as rehabilitation training, smart home and somatosensory games. With the rapid development of computer vision, more and more scholars are devoted to the related research of human action recognition. For action recognition, the extraction and representation of human action features are the premise and key, as well as the difficulty and focus. [0003] Action recognition is of great significance in human-computer interaction. Action recognition technology can enable computers to learn and understand human behavior and actions, improve user experience during ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an action feature representation method that combines rotation, which solves the mutual interference between similar action classes existing in the action feature extraction and action feature representation of the current action recognition method, and the accuracy and speed of recognition are too high. slow problem

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