Fig. 2

Proposed BGS method. We first scale down the resolution of the original image sequences. The sub-sampled frames are subsequently projected over a pre-learned dictionary with the proposed ℓ ₁-min algorithm. Then, we employ a comparison based on the distribution of the sparse coefficients. A second-stage of patch refinement is applied to the region determined in the first stage to obtain the final foreground detection