The present invention relates to a separation method of the foreground and the background of a video based on low rank and structure sparseness. The method comprises: the step 1, reading a video sequence; the step 2, performing low-rank and structure sparse matrix decomposition through adoption of a low-rank and structure sparse non-precision lagrangian multiplier method; the step 3, estimating the rank r of a background matrix A in advance; the step 4, reconstructing the background matrix A, namely, performing decomposition through a singular value, and calculating the background matrix A by using the rank r and a singular value contraction operator; and the step 5, reconstructing a foreground matrix E, obtaining the background matrix A through an observation matrix D and the step 4, and calculating a foreground matrix E; the step 6, determining the iteration times and the errors, and if the iteration times are equal to or smaller than iteration errors, the iteration is finished; and the step 7, recovering the background and the foreground images. The separation method of the foreground and the background of a video based on low rank and structure sparseness is able to directly realize the separation of the background and the foreground of the video sequence.