On automatic actions retrieval of martial arts

Timothy K. Shih, Ching Sheng Wang, Yuan Kai Chiu, Yi Tsou Hsin, Chun Hong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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 actions of martial arts. The mechanism is based on a similarity function that compares animation tracks. A representation of human skeleton includes head, knee, elbow, wrist, etc 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 professional kung fu master with a good satisfaction.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages281-284
Number of pages4
StatePublished - 2004
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan
Duration: 27 Jun 200430 Jun 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume1

Conference

Conference2004 IEEE International Conference on Multimedia and Expo (ICME)
Country/TerritoryTaiwan
CityTaipei
Period27/06/0430/06/04

Keywords

  • Animation
  • Automatic action retrieval
  • Martial art
  • Virtual reality
  • VRML

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