Choreography Retrieval from the Korean POP Dance Motion Capture Database with Low-Cost Depth Cameras

This paper proposes a method for searching a target choreography fraction from a motion capture database of the Korean POP (K-POP) dance. The proposed retrieval system allows users to create their own query sequences by performing dance with low-cost depth cameras. This intuitive search interface is essential for a retrieval of K-POP dance motions that have no official names for unit motions. As a method to describe and measure complex and dynamic dance poses, we utilize a relative angles between joints of interest. For speed up of matching motions, the two-phase approach is proposed which involves fast selection of candidates with key poses and precise comparison between motion segments by using Dynamic Time Warping method. The experimental results on a large database demonstrate that the performance of the system is a sufficiently practical level for real-world applications.