智能科学与技术学报 (Dec 2022)
Research on three frame difference gesture recognition method based on mixed bone features
Abstract
As an excellent algorithm in gesture recognition, three frame difference detection can solve the “double shadow” problem of two frame difference method to a certain extent.But the three frame difference detection will have holes when recognizing gestures, and it cannot adapt to sudden changes in lighting and so on.To solve this problem, the three frame difference gesture recognition method based on mixed bone features was proposed.Firstly, the binary size of the data set was unified, and the background color inter-ference and computation were reduced.Secondly, the three frame difference of mixed bone features was used to detect and track gestures.Finally, the neural network was used for gesture recognition and classification.This method could effectively train hand characteristics, significantly reduce the interference of background on gesture recognition, and improve the recognition efficiency.The experimental results showed that the minimum recognition rate of this method was 93.38% and the maximum was 99.99% in complex background, which could meet the requirement of robustness.This method provides a new idea for gesture recognition in complex image background.
