Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
Since "Dance" becomes compulsory subjects, teachers who are not trained before and have anxiety on instruction are apt to join lesson classes or training seminar, which leads to take time and money. To overcome this situation, there exists strong needs to learn knowledge and skill as to "Dance" for themselves through watching free-of-charge internet dance movies. First of all it is necessary to discriminate dance genres for the sake of watching such movies from explicit move- conscious viewpoints. This paper addresses an identification method of dance movie genres using OpenPose and Autoencoder.