Abstract: In order to realize the accurate extraction of micro-motion object and overcome problems like high false detection rate in the target extraction process,this paper etablished background model for CbCr component,RGB and SILTP feature,and proposed an improved algorithm of ViBe background modeling based on fusion of multi features.The algorithm improvs LBP-TOP texture operator encoding method by introducing LBSP operator,and generates the spatial and temporal domain foreground probability of a pixel by utilizing the improved LBP-TOP texture feature,which is used to gradually establish a CbCr background model close to the true background.It improves ViBe foreground determination and background updating method based on the local pixel complexity and the changing conditions of the three types of characteristics.Then,it gets the complete object detection and accomplishs the accurate background replacement of the video sequences.The experimental results show that the proposed algorithm can effectively segment the micro motion-object of the video sequences and realize the background replacement.

Key words: ViBe,SLITP,LBP-TOP,LBSP,Background replacement