Human movement recognition method and device

Abstract

The invention is suitable for the technical field of pattern recognition, and provides a human movement recognition method and device. The method comprises the steps: obtaining a depth image sequence, carrying out the conversion of the depth image sequence, and obtaining a corresponding depth movement sequence; carrying out the dividing of the depth movement sequence in the time dimension and space dimension, and obtaining a plurality of movement historical cubes and a plurality of corresponding space cube subblocks; calculating corresponding characteristic vectors corresponding to the movement historical cubes according to the space cube subblocks, and obtaining the characteristic vector of the depth movement sequence through combining the characteristic vectors corresponding to the plurality of movement historical cubes; and carrying out the model training and testing through employing an SVM (support virtual machine) according to the characteristic vector of the depth movement sequence, so as to obtain a recognition result of human movement. The method solves a problem of self-sheltering in a conventional human movement recognition method, improves the description capability for human movement, and improves the recognition accuracy of human movement.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a method and device for recognizing human body movements. Background technique [0002] In order to accurately measure the similarity of action tags, a variety of human action recognition methods based on depth image sequences have been proposed in the prior art, such as 3D point clouds, human skeleton models, and hypersurface normal vectors. However, the prior art methods for human action recognition through depth image sequences still have the following disadvantages: [0003] 1. In the case of self-occlusion of the human body, such as "waving hands in front of the chest", the accuracy of action recognition is not high; [0004] 2. The ability to describe the motion information of objects on the time scale is not strong enough, such as "putting things down" and "picking things up"; [0005] 3. The selected features are relatively complex and the data d...

AI Technical Summary

Problems solved by technology

[0006] In view of this, an embodiment of the present invention provides a human motion recognition method and device to solve the problem of self-occlusion in existing human motion recognition methods, enhance the ability to describe human motion, and improve the recognition accuracy of human motion

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