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This work proposes a new approach for facial expression recognition in color image sequences, based on integrated evaluation of geometric and dynamic features. For this purpose a series of methods is introduced that on the one hand achieve high recognition rates for expressive facial behavior and on the other hand address a couple of common problems in this area of research. In particular we apply...
Temporal invariant shape moments intuitively seem to provide an important visual cue to human activity recognition in video sequences. In this paper, an SVM based method for human activity recognition is introduced. With this method, the feature extraction is carried out based on a small number of computationally-cheap invariant shape moments. When tested on the popular KTH action dataset, the obtained...
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