首页> 外文会议>2012 International Conference on Fuzzy Theory and it's Applications. >A robust tracking approach for vision-based forward vehicle detection
【24h】

A robust tracking approach for vision-based forward vehicle detection

机译:用于基于视觉的前向车辆检测的强大跟踪方法

获取原文
获取原文并翻译 | 示例

摘要

Based on the lane marking tracking, this study presents a robust tracking approach for vision-based forward vehicle detection. Following vanishing point of lane which is according to lane detection point and linear regression analysis, five scan lines created as region of interest (ROI) for tracking is adopted to reduce the computational cost in detection process. The proposed algorithm implemented on TI DM648 DSP platform, and get very well results for various road environments.
机译:基于车道标记跟踪,本研究为基于视觉的前方车辆检测提出了一种鲁棒的跟踪方法。根据车道检测点和线性回归分析,在车道消失点之后,采用五条扫描线作为关注区域(ROI)进行跟踪,以减少检测过程中的计算成本。该算法在TI DM648 DSP平台上实现,在各种道路环境下均能获得很好的效果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号