| 基于DM642的嵌入式实时车辆跟踪系统 |
| |
| 引用本文： | 程金汉,杜爱民.基于DM642的嵌入式实时车辆跟踪系统[J].机电工程,2007,24(12):25-27. |
| |
| 作者姓名： | 程金汉 杜爱民 |
| |
| 作者单位： | 同济大学,汽车学院,上海,200092 |
| |
| 摘 要： | 提出了一种基于DM642的实时车载车辆跟踪系统,该系统采用实时的Mean Shift作为跟踪器.为了提高系统跟踪的准确性,利用车辆的颜色分布和外型特征同时作为跟踪器的输入特征;为了提高跟踪的鲁棒性,利用卡尔曼(Kalman)滤波器对Mean Shift的跟踪系统进行预测和滤波.实验显示,该实时车载车辆跟踪系统具有良好的鲁棒性和实时性.
|
| 关 键 词： | 车辆辅助驾驶 DM642 Mean Shift 卡尔曼滤波器 嵌入式实时 车辆 跟踪系统 based system tracking 实时性 显示 实验 滤波器 预测 Kalman 卡尔曼 鲁棒性 输入 特征 外型 颜色分布 利用 系统跟踪 |
| 文章编号： | 1001-4551（2007）12-0025-03 |
| 收稿时间： | 2007-08-27 |
| 修稿时间： | 2007年8月27日 |
A real-time vehicle tracking system based on DM642 |
| |
| CHENG Jin-han,DU Ai-min.A real-time vehicle tracking system based on DM642[J].Mechanical & Electrical Engineering Magazine,2007,24(12):25-27. |
| |
| Authors: | CHENG Jin-han DU Ai-min |
| |
| Abstract: | A real-time vehicle tracking system based on DM642 was proposed. System applied the Mean Shift as real-time tracker. In order to improve the system accuracy, both color feature set and shape feature set were used as the tracking input; In order to improve the system robustness, Kalman filter and Mean Shift tracker were made work together. Experiment results show that, the real-time vehicle tracking system has good filter robustness and great efficiency. |
| |
| Keywords: | driver assistance system DM642 Mean Shift Kalman |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
