Abstract:It is difficult to detect foreground objects accurately in sequence images in the situation of moving background. According to the characteristics of the targets in moving backgrounds, a fast visual saliency-aided VIBE method is proposed. The “memory window” random sample consensus algorithm is first proposed to estimate the background motion model. Then the compensated frames are delivered into the detection algorithm with adaptive background updating factor which is determined by the two-dimensional entropy and saliency of the image. The saliency is also used to suppress the “ghost” effect. Experimental results show that, in the absence of prior knowledge of the moving foreground targets, the proposed method can effectively detects targets in the situation of moving background. And it also has good robustness and high efficiency.