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The modeling of the object appearance is one of the key issues in the development and application of effective object tracking. This paper presents a tracking algorithm based on representing the appearance of the object using a sparse representation based subspace model. the sparse representation theory offers us a powerful tool to model the object by only a small fraction of the training set. The...
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called hierarchical hidden Markov tree model (HHMT), by adopting a feasible and fast two stage algorithm which avoids the time-consuming training process to estimate the HMT model parameters. The HHMT can exploit both the local statistics...
A new image segmentation algorithm based wavelet-domain, referred to as joint adaptive context and multiscale segmentation (JACMS) is developed. Towards achieving lower computational complexity, we propose a fast training algorithm, when applied to image segmentation, this technique provides a reliable initial segmentation. The contextual labeling tree which is used for the context-based Bayesian...
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