Human action recognition by Radon transform

Publication Type:
Conference Proceeding
Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008, 2008, pp. 862 - 868
Issue Date:
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A new feature description is used for human behaviour representation and recognition. The feature is based on Radon transforms of extracted silhouettes. Key postures are selected based on the Radon transform. Key postures are combined to construct an action template for each sequence. Linear Discriminant Analysis (LDA) is applied to the set of key postures to obtain low dimensional feature vectors. Different classification methods are used to classify each sequence. Experiments are carried out based on a publically available human behaviour database and the results are exciting. © 2008 IEEE.
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