首页> 外文会议> >High-quality vehicle trajectory generation from video data based on vehicle detection and description
【24h】

High-quality vehicle trajectory generation from video data based on vehicle detection and description

机译:基于车辆检测和描述的视频数据生成高质量的车辆轨迹

获取原文

摘要

Vehicle trajectories contain rich information on microscopic phenomena such as car following and lane changing. Despite many efforts to retrieve reliable trajectories from video images, previous approaches do not give high enough quality of trajectories that can be used in microscopic analysis. We introduce a new vehicle tracking approach based on a model-based 3-D vehicle detection and description algorithm. The proposed algorithm uses a probabilistic line feature grouping method to detect vehicles with little computation. A dynamic programming algorithm is proposed for fast reasoning. We present the system implementation and the vehicle detection and tracking results.
机译:车辆轨迹包含有关微观现象的丰富信息,例如汽车跟随和换道。尽管为从视频图像中检索可靠的轨迹进行了许多努力,但是先前的方法并未提供可用于显微分析的足够高质量的轨迹。我们基于基于模型的3D车辆检测和描述算法引入了一种新的车辆跟踪方法。所提出的算法使用概率线特征分组方法来以很少的计算来检测车辆。提出了一种用于快速推理的动态规划算法。我们介绍了系统实现以及车辆检测和跟踪结果。

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