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Vehicle speed detection from camera stream using image processing methods

机译:使用图像处理方法从摄像机流中检测车速

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摘要

The paper deals with the topic of detection of vehicle speed based on information from video record. In theoretical part we describe the most important methods, namely Gaussian mixture models, DBSCAN, Kalman filter, Optical flow. The implementation part is comprised of the architectural design and the description of modes of communication of individual segments. The conclusion comprises the tests of obtained video records using different vehicles, different natures of driving and the vehicle position at the time of recording.
机译:本文涉及基于视频记录信息的车速检测主题。在理论部分,我们描述了最重要的方法,即高斯混合模型,DBSCAN,卡尔曼滤波器,光流。实施部分包括体系结构设计和各个部分的通信模式说明。结论包括对使用不同车辆,驾驶的不同性质以及记录时车辆位置的获得的视频记录的测试。

著录项

  • 来源
  • 会议地点 Zadar(HR)
  • 作者单位

    Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic;

    Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic;

    Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic;

    Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Kalman filters; Optical imaging; Gaussian mixture model; Optical filters; Object detection;

    机译:卡尔曼滤波器;光学成像;高斯混合模型;光学滤波器;目标检测;;
  • 入库时间 2022-08-26 14:05:03

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