Human Motion Analysis Using Eroded and Restored Skeletons

  • Authors:
  • Rong Hu;Chucai Yi;Hongyuan Wang

  • Affiliations:
  • Electronics and Information Department, Huazhong University of Science and Technology, Wuhan, Hubei, China;Electronics and Information Department, Huazhong University of Science and Technology, Wuhan, Hubei, China;Electronics and Information Department, Huazhong University of Science and Technology, Wuhan, Hubei, China

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
  • Year:
  • 2008

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Abstract

Skeleton has been found a very useful feature in human motion analysis and gait recognition. However, it is usually hard to obtain the right feature skeleton because of shape variance of human silhouette and noise. Due to those reasons, unexpected skeleton branches will exist together with the main components of human body. To delete the unexpected branches, a silhouette reconstruction method is proposed to cope with the shadow problem in foot area, while a skeleton pruning technique using skeleton erosion and restoration is proposed to extract the main body parts. The final skeleton can be used as a high level gait feature to carry out further motion type analysis.