Recognition of social dancing from auditory and visual information

We discuss the recognition of social dancing from a real image sequence and an acoustic signal of music. Since social dancing involves somewhat complicated movements by multiple humans, it is difficult to recover a detailed description of each dancer´s posture by the conventional approach based on matching of an articulated human body model to each frame of an image sequence. Using the results of the recognition process for annotating a video of social dancing, we focus on the bare minimum of motion description. We show that the motion description can be acquired from a real image sequence and an acoustic signal by simple familiar techniques of computer vision and music information processing