Real-time human body action recognition method and real-time human body action recognition device

Abstract

The invention discloses a real-time human body action recognition method and a real-time human body action recognition device. The method comprises the following steps of acquiring a depth image of ato-be-recognized human body in real time; extracting the skeleton data of the human body in the depth image according to the depth image, and performing normalization treatment on the skeleton data, wherein the skeleton data comprises a joint point data set of human body key nodes; acquiring an action recording file, wherein the action recording file comprises a preset action recording file; setting a joint point combination according to the action recording file, and marking the starting position of actions in the action recording file; training the actions in the action recording file by utilizing a preset algorithm, extracting a feature vector and storing the feature vector into an action template file; recognizing the action of the to-be-recognized human body based on the action template file and the joint point data set, and outputting a recognition result. The human body action recognition accuracy can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of human motion recognition, in particular to a real-time human motion recognition method and a real-time human motion recognition device. Background technique [0002] The history of human-computer interaction technology has been developed for more than 50 years. In recent years, the use of motion recognition technology to realize human-computer interaction has become one of the key research directions of scholars at home and abroad. Human action recognition is a challenging topic in computer vision, but it also has broad application prospects. Vision-based human motion analysis is a very active research direction in the field of computer vision, which includes motion detection, object classification and tracking, and understanding and recognition of human motion. The relationship between these contents is progressive: the detection of moving human body is the basis of target classification and tracking, a...

AI Technical Summary

Problems solved by technology

[0004] However, in the above-mentioned mainstream methods, a large number of complex calculations are required, and real-time performance and accuracy cannot be achieved.

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