A novel tracking algorithm based on adaptive multiple-cure fusion is proposed for moving target tracking under complex background.According to the discriminability between target and background,that is measured by two-class variance ratio,the multiple cues are combined by linear weighting to represent target and realize kernel-based tracking.In addition,an adaptive model updating mechanism is addressed to alleviate the mode drifts by the likelihood of the cues between two successive frames.According to biol...