Aiming at the problems of noise interference in the moving target detection by the visual background extractor (ViBe) algorithm, the two-frame differencing method was incorporated into the foreground detection phase of ViBe, and an improved ViBe algorithm (ViBe with two-frame differencing, ViBe-TD) that incorporates two-frame differencing information was proposed. Firstly, the single-threshold form of ViBe (S-ViBe) detection was designed to prepare for the information fusion. Secondly, the fusion of two-frame difference and S-ViBe detection information on pixel points was achieved based on logistic regression model. Finally, the two types of detection information were combined to complete the determination of foreground pixel points. The experimental results show that the ViBe-TD algorithm achieves an average precision of 0.932, an average recall of 0.785 and an average F1 value of 0.842 for the detection on four different scene videos. Compared with the original algorithm, the ViBe-TD algorithm shows an average improvement of 0.158 in each metric and has a good detection effect.