In order to improve the effect of a background model in traffic video surveillance which was not good for the complex environment with too many foreground objects or light varying

a background modeling of multi-level block was proposed. The model was based on the frame differential method with the N frames interval and multilevel block

combining with center-symmetric local binary pattern and codebook algorithm. Using the model

the background obtained is clear and unbroken

and is the base for the foreground object extraction. To test the validity of the method

the designed experiment was compared with local binary pattern

center-symmetric local binary pattern

codebook algorithm and mixture of Gaussian. The proposed model got the more complete foreground objects

more clearly boundary of the objects

and no significant block figure. We scored the methods and the proposed method got higher scores. In the foreground object extraction methods

the method we proposed had the better results.