@inproceedings{51b81baa829945238e61969da994883f,
title = "Subspace analysis methods plus motion history image for human action recognition",
abstract = "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.",
author = "Chunhua Du and Qiang Wu and Jie Yang and Xiangjian He and Yan Chen",
year = "2008",
doi = "10.1109/DICTA.2008.20",
language = "English",
isbn = "9780769534565",
series = "Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008",
publisher = "IEEE Computer Society",
pages = "606--611",
booktitle = "Proceedings - Digital Image Computing",
address = "United States",
note = "Digital Image Computing: Techniques and Applications, DICTA 2008 ; Conference date: 01-12-2008 Through 03-12-2008",
}