Aiming at the appearance model updating problem of visual tracking,an adaptive model updating strategy was proposed based on particle information criterion updating in the framework of the particle filter visual tracking.By mining the related information between the particles, analysis was made to the changes of tracking status and appearance model, and then a fuzzy rule table for model updating was built up.The method was compared with the model updating method of classical particle filter visual tracking by using the famous visual tracking evaluation data sets.The experimental results demonstrate the effectiveness of the algorithm.