To improve the robustness of target detection under complex scene is an important and difficult challenge in the field of computer vision.The traditional moving target detection is based on the single feature of the target.In this paper,a new background modeling algorithm is proposed for object detection based on both color feature and texture feature.Firstly,the traditional color-based Gaussian mixture model is improved and the computation cost is reduced.Then the improved Gaussian mixture model is fused with the LBP texture model by D-S evidence theory.The experimental results show that the fusion of two features can be complementary.The proposed algorithm can detect the moving targets more rapidly and accurately compared with the traditional algorithm.