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一种基于视频技术的车辆跟踪方法
引用本文:翟永前,于惠芬,赵力,邹采荣.一种基于视频技术的车辆跟踪方法[J].电气电子教学学报,2011(6):46-48,58.
作者姓名:翟永前  于惠芬  赵力  邹采荣
作者单位:南京铁道职业技术学院;东南大学信息科学与工程学院
基金项目:国家自然科学基金项目(No:60872073;No:60975017;No:51075068)
摘    要: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。

关 键 词:视频技术  车辆跟踪  Kalman滤波

A Method of Vehicle Tracking Based on Video Technology
ZHAI Yong-qian,YU Huei-fen,ZHAO Li,ZOU Cai-rong.A Method of Vehicle Tracking Based on Video Technology[J].Journal of Electrical & Electronic Engineering Education,2011(6):46-48,58.
Authors:ZHAI Yong-qian  YU Huei-fen  ZHAO Li  ZOU Cai-rong
Affiliation:1.Nanjing Institute of Railway Technology,Nanjing 210015,China,2.Southeast University,Nanjing,210096,China)
Abstract: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
Keywords:video technology  vehicle tracking  Kalman filter
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