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Video image processing systems: applications in transportation

机译:视频图像处理系统:在交通中的应用

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California Polytechnic State University, USA, completed an assessment of the potential of using a video image processing (VIP) system for traffic surveillance and detection on California freeways. The first phase of the project, sponsored by the California Department of Transportation, was completed in 1991. Eight turnkey and prototype systems were identified and tested under laboratory conditions. The results showed, that while no system tested was ready for deployment at that time, several systems warranted further testing under more realistic conditions. The second phase of the project began in June 1992 and was completed recently. Four VIP systems were chosen for extended field testing to measure accuracy in traffic counts and speeds, classification, reliability, cost, ease of set-up and operation, image quality, failure rate, and ease of recovery. These variables were assessed quantitatively and qualitatively under specific conditions that included variations of lighting, approaching and departing traffic, camera angle, weather, vibration, and presence of signal noise. This paper presents the Phase II field test results and recommendations for standardizing image processing systems with a view toward eventual statewide implementation for traffic detection.
机译:美国加利福尼亚州立理工大学完成了对使用视频图像处理(VIP)系统进行加利福尼亚高速公路交通监控和检测的潜力的评估。该项目的第一阶段由加利福尼亚州运输部赞助,于1991年完成。确定了八个交钥匙系统和原型系统,并在实验室条件下进行了测试。结果表明,尽管当时还没有测试系统可供部署,但有几个系统需要在更实际的条件下进行进一步测试。该项目的第二阶段于1992年6月开始,并于最近完成。选择了四个VIP系统进行扩展的现场测试,以测量流量计数和速度,分类,可靠性,成本,安装和操作的便利性,图像质量,故障率和恢复性的准确性。这些变量是在特定条件下定量和定性评估的,这些特定条件包括照明,进出交通的变化,摄像机角度,天气,振动和信号噪声的存在。本文介绍了II期现场测试结果和标准化图像处理系统的建议,以期最终在全州范围内实施交通检测。

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