SUN Pei-ye,Lü Lian-rong,QIN Juan.Moving object extraction based on saliency detection and adaptive background model[J].Optoelectronics Letters,2020,16(1):59-64 Moving object extraction based on saliency detection and adaptive background model Author Name Affiliation SUN Pei-ye  School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China  Lü Lian-rong  School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China  QIN Juan  School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China  Abstract:       For the ghost in visual background extractor (ViBe) algorithm and the influence of dynamic background, an improved ViBe algorithm is proposed to extract moving object in this paper. The way of background acquisition during modeling is improved to eliminate the ghost. Detect the saliency of the pre-M-frame, and synthetic relatively real background. Modeling with the background can avoid the generation of ghost. The selection of thresholds in the model is improved to reduce the impact of the dynamic background. Adjust the thresholds adaptively according to the background complexity. In addition, find the inner contour of extracted object to ?ll, which makes the detected targets more complete. Experimental results show that the presented algorithm effectively removes ghosts and enhances anti-interference ability. Compared with several existing methods, the presented algorithm has better performance. Hits: 1099 Download times: 0 View Full Text    Download reader