A Vehicle Detection Method in Night Outdoor Scenes Based on Spatio-temporal Bricks

A novel approach to detect vehicles in night outdoor scenes is proposed in this paper. By using online subspace learning, the preliminary foreground is obtained based on spatio-temporal bricks. Meanwhile, a new operator named 3DLBP is proposed to describe the local features of bricks. The final foreground is acquired by region-grow with 3DLBP and preliminary foreground. The results of experiment indicate that the proposed approach achieves higher performance in detecting vehicles in night outdoor scenes than common methods.