• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Machine Vision Applications in Industrial Inspection XIV; Electronic Imaging Science and Technology >Automatic monitoring and measuring vehicles by using image analysis
【24h】

Automatic monitoring and measuring vehicles by using image analysis

机译：通过图像分析自动监测和测量车辆

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

It is difficult to obtain stable roadway images when the camera shakes. In order to solve the problem, we present a two-point calibration method. Two symbol points in sequential frames are selected firstly, if the two points can be matched well in a sequence images, the sequential frames will be matched well. Then the frame difference method is used to segment moving vehicles. Since the moving vehicles signals are very weak, the signals are magnified by a dilation operation. Since the headmost moving vehicle is close to the backmost stationary vehicle on a roadway when traffic light is red, location of the backmost stationary vehicle can be determined by location of headmost moving vehicle. And the backmost stationary vehicle's computer image coordinate can be transformed to world coordinate by a camera model. As a result, the length of stationary vehicle queue can be calculated and estimated. And the ratio between stationary vehicle queue length and roadway length can be obtained. We can use the ratio to evaluate the congestion degree of the roadway.
机译：相机晃动时，很难获得稳定的车道图像。为了解决该问题，我们提出一种两点校准方法。首先选择顺序帧中的两个符号点，如果两个点在序列图像中可以很好地匹配，则顺序帧将很好地匹配。然后采用帧差法对运动中的车辆进行分割。由于行驶中的车辆信号非常微弱，因此通过扩张操作将信号放大。当交通信号灯为红色时，由于最靠前行驶的车辆靠近道路上的最靠后行驶的车辆，因此可以通过最靠前行驶的车辆的位置来确定最靠后行驶的车辆的位置。而最后面的固定车辆的计算机图像坐标可以通过相机模型转换为世界坐标。结果，可以计算和估计固定车辆队列的长度。并且可以获得固定车辆排队长度与道路长度之间的比率。我们可以使用该比率来评估道路的拥堵程度。

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