Kalman Filtering-Based Modified Cam-Shift Vehicle Tracking Algorithm for Highway Traffic Conditions

摘要：

A new Kalman filtering-based Cam-Shift vehicle tracking algorithm is proposed for video monitoring of highway traffic conditions in this paper. First, the approximate location and size of the initial search windows are determined by Kalman filtering. Then, taking the predictive values as initial values, the Cam-Shift algorithm can give information on target vehicles in real time and with a high accuracy, and improve its anti-interference ability and tracking speed. Our results show that this algorithm is capable of vehicle tracking and can detect highway traffic conditions accurately.

关键词： highway traffic conditions vehicle tracking kalman filtering cam-shift algorithm

作者: Dengfeng Li Hu Li Xiuling Wei

作者单位: Department of Automation Changan University Xian, P.R.China Department of Automative & Transportation Xian Siyuan College Xian, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 271-275

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）