关键词: 视觉跟踪, 特征融合, Fisher评价准则, 模糊控制

Abstract: To improve identification ability of visual features when illumination varies, the feature extracting method of self-adaptive illumination based on fuzzy control was proposed. Unstable track problem caused by using unique kind of features could be settled by building feature set through dynamically selecting color features and edge features. Local illumination varying detection function was determined to detect illumination variation. Fisher criterion was used to evaluate feature identification ability and renew feature set online. By doing so, the problems of illumination variation and noise factor could be settled. Fuzzy control method was used to control renewing rate of feature set according to illumination variation. Stable tracking target can be realized when illumination varies. Compared with color feature-based visual tracking method, its accuracy is increased.

Key words: visual tracking, feature fusion, Fisher evaluating criterion, fuzzy control