On automatic actions retrieval of martial arts

Martial art actions can be represented via VRML animations or extracted by video tracking. We propose an action retrieval method, which allows users to retrieve similar martial art actions. The mechanism is based on a similarity function that compares animation tracks. A representation of the human skeleton includes head, knee, elbow, wrist, etc and further aggregates important features in martial art actions. Different weights are dynamically calculated according to motion sensitivity of feature points. As a result, the system can automatically retrieve similar martial art actions. The results are tested by a professional kung fu master with good satisfaction.