Subspace Analysis Methods plus Motion History Image for Human Action Recognition

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Digital Image Computing: Techniques and Applications, 2008. DICTA '08., 2008, pp. 606 - 611
Issue Date:
2008-01
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This paper proposes a new human action recognition method which deals with recognition task in a quite different way when compared with traditional methods which use sequence matching scheme. Our method compresses a sequence of an action into a Motion History Image (MHI) on which low-dimensional features are extracted using subspace analysis methods. Unlike other methods which use a sequence consisting of several frames for recognition, our method uses only a MHI per action sequence for recognition. Obviously, our method avoids the complexity as well as the large computation in sequence matching based methods. Encouraging experimental results on a widely used database demonstrate the effectiveness of the proposed method.
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