Human Activity Recognition by Radon Transform
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چکیده
A new feature description is used for human behaviour representation and recognition. The feature is based on Radon Transform of extracted silhouettes. Key postures are selected based on the transform feature. Key postures are summed up to represent each sequence. Linear Discriminant Analysis (LDA) is applied to the sum of key postures to obtain low dimensional feature vectors. Different classification methods are used to classify each sequence. Experiments are carried on a public human behaviour database and the result is exciting.
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تاریخ انتشار 2015