Dynamic gesture recognition method and apparatus

Abstract

The present invention discloses a dynamic gesture recognition method and device. According to the dynamic gesture recognition method and device, a plurality of gesture images of continuous time frames are acquired; each gesture image is divided into a plurality of image blocks; Fourier transformation and skin color change judgment are performed on each image, so that gestures image blocks and non-gesture image blocks can be recognized; logic operation is performed on the gesture images corresponding to adjacent time frames according to the identification values of the gesture image blocks and non-gesture image blocks in the gesture images corresponding to the adjacent time frames; and gesture slide is recognized according to a logic operation result. According to the processing process of the method, processing on a whole image is not required, and the logic operation is adopted to simplify and integrate a plurality of identified image block relations, so that gesture recognition can be quickly and accurately performed; and the algorithm does not need to occupy a large amount of memory resources, and therefore, the efficiency of gesture recognition is greatly improved.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a dynamic gesture recognition method and device. Background technique [0002] The importance of gesture interaction in the field of human-computer interaction technology is becoming more and more prominent. In the scene based on virtual human-computer interaction, gestures are mainly used to complete the grasping, moving and releasing of different objects on the virtual interface. Therefore, a lot of dynamic Gestures are used to complete the operation of objects. In order to ensure the real-time performance of dynamic gesture recognition, it is necessary to quickly and accurately recognize dynamic gestures. [0003] In the prior art, gesture recognition is performed based on the Tower algorithm, and its calculation process is very complicated, and the amount of calculation is huge, which reduces the real-time performance of gesture recognition. For gesture re...

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Problems solved by technology

[0003] In the prior art, gesture recognition is performed based on the Tower algorithm, the calculation process is very complicated, and the amount of calculation is huge, which reduces the real-time performance of gesture recognition

For gesture recognition based on gesture training, if the gesture model is too simple in order not to occupy a large amount of memory, the accuracy of gesture recognition will be reduced; if in order to ensure the accuracy of gesture recognition, a large amount of training is required for the gesture model, and the increased variables will take up a lot memory

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