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The observation is modeled by democratic integration strategies according to the reliability of the information in the current multi-visual features to adjust their weights. The appearance model is also embedded in a particle filter (PF) tracking framework. Furthermore, we propose a new model updating algorithm based on the PF. In order to avoid incorrect results caused by \"model drift\" introduced into the observation model, model updating should only be controlled in a reliable manner, and the rate of updating is based on reliability. 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