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Hidden Markov model
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Hidden Markov model is Markov chain
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Hidden conditional random field model
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Hidden conditional random field (hCRF) model uses hidden variables in the middle to model the potential structure of the input domain, which solves the limitation of CRF. At the same time, it has the ability of CFR model to express long-distance dependence and overlap, and overcomes the local observation independence assumption of HMM event detection model,
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Layering gradient orientation histogram
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Phog shape description feature can describe both the local shape and the spatial layout of the object. The feature representation is to segment the same image in different scales step by step, then calculate the small hog of patch in each scale, and finally synthesize the histogram of gradient direction of each block in each level to form a pyramid of gradient direction histogram.
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