Human Action Recognition by Radon Transform
- Publication Type:
- Conference Proceeding
- IEEE International Conference on Data Mining Workshops, 2008. ICDMW '08., 2008, pp. 862 - 868
- Issue Date:
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.
Please use this identifier to cite or link to this item: