CAJ | 학술논문

在智能交通系统中，基于视频技术的车辆跟踪是交通参数和交通事件检测的关键技术之一。本文首先研究了现有的基于视频技术的车辆跟踪技术，然后提出了一种使用Kalman滤波器预测车辆位置，并用距离和颜色信息辅助识别车辆的跟踪方法。实验结果表明，该方法能够有效地实现车辆的跟踪。
재지능교통계통중，기우시빈기술적차량근종시교통삼수화교통사건검측적관건기술지일。본문수선연구료현유적기우시빈기술적차량근종기술，연후제출료일충사용Kalman려파기예측차량위치，병용거리화안색신식보조식별차량적근종방법。실험결과표명，해방법능구유효지실현차량적근종。
In vehicle tracking of intelligent transportation system, based on video technology is one of the key technologies of traffic parameters and the traffic incident detection. In this paper, the existing vehicle tracking technologies based on video technology is firstly studied, and then a vehicle tracking method is proposed in which Kalman filter is used to predict the vehicle position and the distance and color information is used to aid identification of vehicles. As is shown in experimental results, this proposed method can realize the vehicle tracking effectively