Open AccessResearch on Human Action Recognition in Dance Video Images
Author(s) -
Hong He
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/2/022062
Subject(s) - dance , codebook , artificial intelligence , preprocessor , computer science , computer vision , movement (music) , action (physics) , action recognition , pattern recognition (psychology) , visual arts , art , aesthetics , physics , quantum mechanics , class (philosophy)
This article mainly researches the recognition technology of dance video in human movement. Image preprocessing, codebook establishment, Zernike moments and support vector machines are used to classify and recognize human movements in dance videos. From the results of simulation experiments, using the recognition method proposed in this paper to recognize dance movements in dance videos in the database can effectively improve the recognition rate of human movements, and then better guide dancers’ dance movements.