Development of a multiple‐camera 3D vehicle tracking system for traffic data collection at intersections
Development of a multiple‐camera 3D vehicle tracking system for traffic data collection at intersections
复制标题
开发用于交叉口交通数据采集的多摄像头 3D 车辆跟踪系统
DOI:
10.1049/iet-its.2018.5163
复制
发表时间:
2018
影响因子:
2.7
通讯作者:
Hua Tang
中科院分区:
文献类型:
--
作者:
Sukriti Subedi;Hua Tang
In this paper, we propose and develop a multiple-camera 3D vehicle tracking system for traffic data collection at intersections. Assuming a simple 3D cuboid model for the vehicle, the developed system allows 3D vehicle dimension estimation using fusion of information from multiple cameras. Using a common rectangular road pattern, each camera is first individually calibrated and then jointly post-optimised. Then, the developed 3D vehicle tracking system takes synchronised images from multiple cameras as inputs and processes 2D image frames using object segmentation techniques to derive vehicle silhouettes. After 2D vehicle segmentation, objects in the 2D image frames are projected to the 3D real world to allow estimation of vehicle length and width. The height of the object is sought in the image view that would create the top quadrilateral of the vehicle that has the edge furthest away from the vehicle base quadrilateral. With Kalman filter based vehicle tracking, interested traffic data, such as vehicle count, are derived from the vehicle trajectory. Real-world experimental results for an intersection with two cameras have shown that the developed 3D vehicle tracking system can reliably estimate 3D vehicle dimensions and improve accuracy of traffic data collection compared to a single-camera system.