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High-Speed Human Motion Recognition Based on a Motion History Image and an Eigenspace
Takehito OGATA Joo Kooi TAN Seiji ISHIKAWA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/01/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Pattern Recognition
motion recognition, high-speed recognition, motion history images, eigenspace,
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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.