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

Takehito OGATA  Joo Kooi TAN  Seiji ISHIKAWA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E89-D   No.1   pp.281-289
Publication Date: 2006/01/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.1.281
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Pattern Recognition
Keyword: 
motion recognition,  high-speed recognition,  motion history images,  eigenspace,  

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Summary: 
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.