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To deal with the problem of view invariant action recognition, this paper presents a novel approach to recognize human actions across cameras via reconstructable paths. Each action is modelled as a bag of visual-words based on the spatio-temporal features. Although this action representation is sensitive to view changes, the proposed reconstructable path is able to “translate” the action descriptor...
This paper introduces a vision-based continuous sign language recognition (CSR) system. This CSR system can differentiate the signs in vocabulary and the non-signs. First, the continuous sign language is segmented into isolated sign segments. Then, the sign segment which can be interpreted by Product-HMMs (pHMM) is a sign, otherwise it is a non-sign. In the experiments, we test 40 signs from Taiwanese...
Locality preserving projection (LPP) is a promising manifold learning approach for dimensionality reduction. However, it often encounters small sample size (3S) problem in face recognition tasks. To overcome this limitation, this paper proposes a discrete sine transform (DST) feature extraction approach and develops a DST-feature based LPP algorithm for face recognition. The proposed method has been...
A color image splicing detection method based on gray level co-occurrence matrix (GLCM) of thresholded edge image of image chroma is proposed in this paper. Edge images are generated by subtracting horizontal, vertical, main and minor diagonal pixel values from current pixel values respectively and then thresholded with a predefined threshold T. The GLCMs of edge images along the four directions serve...
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