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Building effective and efficient appearance models is a challenging task for robust object tracking. Online learned strategy is widely used to solve appearance changes for its adaptive ability. However, it will introduce potential drifting problems for the accumulation of errors during the self-updating. As a result, this paper attempts to create the visual object appearance model using cloud model...
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