Abstract: Illumination and moving objects vary dynamically in complex situations,making the tracking of moving human targets difficult.To solve this problem,a new tracking procedure is proposed.Multiple small-regions of human targets are extracted through background subtraction,and their matching reliabilities are evaluated by fuzzy inference.The human target is tracked by means of tracking the small-regions with high matching reliability and of neighborhood searching,position rectifying and estimating the small-regions with low matching reliability.Experimental results showed that the suggested approach can solve occlusion and disturbance by other objects and is adaptive to the illumination and other environmental changes.