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To deal with the drifting issue in visual tracking, we propose an Online Transfer Boosting (OTB) algorithm that transfers knowledge from three different source domains to the target domain to improve the performance of the online classifier used in tracking-by-detection. In particular, the OTB algorithm integrates three types of knowledge by: (1) transferring prior knowledge from the first frame using...
We may represent human actions as a bag of spatiotemporal visual words extracted from input video sequences. For human action categorization, labeled LDA (L-LDA) is an extension of latent Dirichlet allocation (LDA) by providing action class labels to each video. To handle parameter uncertainty in L-LDA, this paper further extends L-LDA within the type-2 fuzzy set (T2 FS) framework, referred to as...
In this study, a visual attention region determination approach for H.264 videos using spatiotemporal features is proposed. After Gaussian filtering in Lab color space, the phase spectrum of Fourier transform (PFT) is used to generate the spatial saliency map of each video frame. On the other hand, the motion vector fields from an H.264 video bitstream are backward accumulated and the phase spectrum...
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