Dance Analysis using Spatio-Temporal Features

Abstract

In this paper, we propose a method for dance analysis of TV programs or videos on the Internet. These videos have various lighting, angles, dancers, or camera movements. And most of them contain a variety of scenes. To analyze incomplete and insufficient dance information, we use spatio-temporal features. We focus on periodicity of dance motion, extract spatio-temporal interest points, and synchronize the dances of different videos. Experimental result shows that the proposed method can analyze the dance movements, and compare with each other.