For improving the performance of the t raditional particle filter object tracking algorithm based on single color feature,a new particle filter object tracking algorithm based on color an d texture feature fusion is presented in this paper.At first,a new global median local binary pattern (GMLBP) texture operator is presented,which is good for noise suppression and texture edges protection.The operator gets an am plitude sequence template by using local differential absolute value for the template image,then center pixels are replaced by median values of the amplitude sequence template,and the new texture image is obtained by being compa red with the template neighborhood. Secondly,combining with illumination invariance local binary pattern (LBP),anot her new global median local binary pattern (GMLBP) texture description operator is proposed.The fused coefficient is determined according to the different particle weights based on the GMLBP texture character istic and HSV color characteristics, respectively.The final estimation of target position is proposed via normalizing the fused particle weights.Compared with target tracking algorithm based on single color feature,experimental resul ts show that the proposed algorithm captures the target location accurately and has a lower average tracking error, and the average error is reduced by nearly 2times.