Multi‐camera traffic scene mosaic based on camera calibration

Abstract

Recently, the traffic application based on vision in the single traffic‐monitoring scene has been widely studied and developed. However, cross‐regional research is still in its infancy. In order to help solve the application of cross‐regional traffic surveillance scenarios, this paper proposes a more reliable and accurate road scene mosaic method under multi‐camera surveillance. The mosaic road panorama contains physical information, which can be used to achieve a cross‐regional measurement. It also lays the foundation for vehicle spatial location, vehicle speed and traffic incident detection across regions. First, the mapping relationship between the three‐dimensional sub‐world coordinates and their corresponding two‐dimensional image coordinates is established by camera calibration. Second, the projection transformation relationship between two cameras is established by two sub‐world coordinate systems and their common information. Finally, we use the proposed inverse projection idea and translation vector relationship to complete the mosaic of two traffic‐monitoring road scenes. The experimental results show that the camera calibration accuracy can reach more than 97% in a single scene. The measurement accuracy of the mosaic block is over 95%. The experimental results show that the proposed method has a higher accuracy, which has great value in related theoretical research and practical applications.

Vehicle Spatial Distribution and 3D Trajectory Extraction Algorithm in a Cross-Camera Traffic Scene

“…To complete road space fusion in cross-camera scenes, the relationship between 2D image space and 3D world space must be derived through camera calibration. In this paper, we refer to the study [31] and our previous work [32,33] to define coordinate systems and camera calibration model, and choose the single vanishing point-based calibration method VWL (One Vanishing Point, Known Width and Length) to complete the calculation of calibration parameters.…”

Traffic flow measurement for smart traffic light system design

“…In [6], [7] proposed different ideas to tackle this problem. Another issue is the narrow viewing range of monitoring which has been delt with by [8], [9] through using multiple cameras to extend the perspective. Tracking techniques have also been attached to vehicle counting as a beneficial capability of using vision-based traffic assessment.…”

Research on Panorama Generation from a Multi-Camera System by Object-Distance Estimation

“…In recent years, panoramic images have been extensively employed in ground remote sensing applications, including street image acquisition, traffic monitoring, virtual reality, robot navigation and mobile mapping applications, etc. [1][2][3][4][5]. At present, there are mainly two types of panoramic imaging methods on the market, namely catadioptric imaging and multi-camera imaging methods.…”