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首页> 外文期刊>Journal of electronic imaging >Video-based real-time on-street parking occupancy detection system
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Video-based real-time on-street parking occupancy detection system

机译：基于视频的实时路边停车占用检测系统

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摘要

Urban parking management is receiving significant attention due to its potential to reduce traffic congestion, fuel consumption, and emissions. Real-time parking occupancy detection is a critical component of on-street parking management systems, where occupancy information is relayed to drivers via smart phone apps, radio, Internet, on-road signs, or global positioning system auxiliary signals. Video-based parking occupancy detection systems can provide a cost-effective solution to the sensing task while providing additional functionality for traffic law enforcement and surveillance. We present a video-based on-street parking occupancy detection system that can operate in real time. Our system accounts for the inherent challenges that exist in on-street parking settings, including illumination changes, rain, shadows, occlusions, and camera motion. Our method utilizes several components from video processing and computer vision for motion detection, background subtraction, and vehicle detection. We also present three traffic law enforcement applications: parking angle violation detection, parking boundary violation detection, and exclusion zone violation detection, which can be integrated into the parking occupancy cameras as a value-added option. Our experimental results show that the proposed parking occupancy detection method performs in real-time at 5 frames/s and achieves better than 90% detection accuracy across several days of videos captured in a busy street block under various weather conditions such as sunny, cloudy, and rainy, among others.
机译：城市停车管理由于其潜在的减少交通拥堵，燃料消耗和排放的潜力而受到了广泛的关注。实时停车占用检测是路边停车管理系统的重要组成部分，在该系统中，占用信息通过智能手机应用程序，无线电，互联网，道路标志或全球定位系统辅助信号传递给驾驶员。基于视频的停车占用检测系统可以为传感任务提供经济高效的解决方案，同时为交通法规的实施和监视提供附加功能。我们提出了一种基于视频的路边停车占用检测系统，该系统可以实时运行。我们的系统解决了路内停车设置中存在的固有挑战，包括照明变化，雨水，阴影，遮挡和摄像机运动。我们的方法利用视频处理和计算机视觉中的多个组件来进行运动检测，背景扣除和车辆检测。我们还展示了三种交通执法应用程序：停车角度违规检测，停车边界违规检测和禁区违规检测，它们可以作为增值选项集成到停车占用摄像头中。我们的实验结果表明，所提出的停车占用检测方法能够以5帧/秒的速度实时执行，并且在各种天气情况下（例如晴天，多云，和多雨。

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  • 来源
    《Journal of electronic imaging》 |2013年第4期|041109.1-041109.15|共15页
  • 作者

    Orhan Bulan; Robert P. Loce; Wencheng Wu; YaoRong Wang; Edgar A. Bernal; Zhigang Fan;

  • 作者单位

    Xerox Research Center Webster Webster, New York 14580;

    Xerox Research Center Webster Webster, New York 14580;

    Xerox Research Center Webster Webster, New York 14580;

    Xerox Research Center Webster Webster, New York 14580;

    Xerox Research Center Webster Webster, New York 14580;

    Xerox Research Center Webster Webster, New York 14580;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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