Spatial Positioning Method of Vehicle in Cross-Camera Traffic Scene

Abstract

<p indent=0mm>In order to solve the problem of cross-camera and full-scene vehicle spatial positioning in traffic applications, a method combining full-scene perspective stitching and 3D vehicle detection is proposed. Firstly, a method of automatic camera calibration in traffic scenes is proposed. By building a camera calibration space model, the calibration parameters can be obtained and optimized automatically. Then, feature points in the overlapping area are used to transform and unify the multi-camera spatial coordinate system. In order to intuitively reflect the physical space of the whole scene, the perspective of each scene is transformed into a unified pixel-physical coordinate system. Finally, for the problem of 3D positioning of vehicles under monocular vision, an optimization model is established to construct a refined 3D bounding box by using the geometric constraints of vehicle projection. The 3D centroid is used as the vehicle spatial positioning point, and the mapping to the pixel-physical coordinate system can reflect the dynamic information of vehicles. In the experimental environment with artificial feature points and the practical application environment without artificial feature points, the spatial positioning experiment is carried out for multi-type vehicles in cross-camera scene. Experimental results show that the algorithm can solve the problem of vehicle positioning in the large cross-camera scene of traffic video surveillance. The comprehensive positioning accuracy in the selected experimental scene can reach the centimeter level with a real-time performance.