| G. Goudelis, K. Karpouzis, S. Kollias |
| Robust Human Action Recognition Using History Trace Templates |
| 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Delft, The Netherlands, 13-15 April. |
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ABSTRACT
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| Due to its continuous growing use in every day life applications, human action recognition has became one of the very hot topics considering image analysis and pattern recognition. The specific paper presents a new feature extraction method for human action recognition. The method is based on the extraction of Trace transforms from binarized silhouettes, representing different stages of a single action period. A final history template composed from the above transforms, represents the whole sequence containing much of the valuable spatio-temporal information contained in a human action. The new method takes advantage of the natural specifications of the specfic Trace transform, such as noise robustness, translation invariance and scalability easiness and produces effective, simple and fast created features. Classification experiments performed on KTH action database using Radial Basis Function (RBF) Kernel SVM, provided very competitive results indicating the potentials of the proposed technique.
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| 04 May , 2011 |
| G. Goudelis, K. Karpouzis, S. Kollias, "Robust Human Action Recognition Using History Trace Templates", 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Delft, The Netherlands, 13-15 April. |
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