Automatic Dance Understanding

Automatic dance understanding is the task of understanding and exploring semantic meaning of different dance moves, hand gesture and body pose. Automatic dance understanding also plays an important role in the cultural heritage preservation. But inherently, automatic dance understanding comes with some challenging problems viz. low quality video, bad lighting condition of the stage, motion blur, image sensor noise etc. Currently, some parts of the problem: hand gesture recognition, facial expression recognition, pose estimation are attempted by the researchers but the whole automatic dance understanding is yet to be achieved. The objective of this research is to resolve the challenges and built a robust automatic dance understanding system. The current objective is to find robust solutions for the sub problems: (a) hand detection in static images, (b) motion blur removal from the video frames in order to better hand gesture recognition.