High-Speed Human Motion Recognition Based on a Motion History Image and an Eigenspace

  • Authors:
  • Takehito Ogata;Joo Kooi Tan;Seiji Ishikawa

  • Affiliations:
  • The authors are with the Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu-shi, 804--8550 Japan.;The authors are with the Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu-shi, 804--8550 Japan.;The authors are with the Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu-shi, 804--8550 Japan.

  • Venue:
  • IEICE - Transactions on Information and Systems
  • Year:
  • 2006

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Abstract

This paper proposes an efficient technique for human motion recognition based on motion history images and an eigenspace technique. In recent years, human motion recognition has become one of the most popular research fields. It is expected to be applied in a security system, man-machine communication, and so on. In the proposed technique, we use two feature images and the eigenspace technique to realize high-speed recognition. An experiment was performed on recognizing six human motions and the results showed satisfactory performance of the technique.