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Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime

机译：夜间自动交通监控系统的车辆检测和速度估计

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This article proposes a vehicle detection and speed measurement system to estimate a vehicle’s velocity by identifying its headlight properties in a nighttime environment. We present a traffic surveillance system for vehicle detection and tracking in the nighttime along with a background extraction and automatic vanishing point detection process. We show that a single video camera can sufficiently and effectively operate to concurrently calculate and detect a vanishing point during the daytime. We have applied this to preprocessing in an automated traffic surveillance system in the nighttime. The experimental results show that vehicle tracking is possible, even in the nighttime. Preliminary experimental results confirm the possibility and effectiveness of the proposed algorithms for this nighttime vehicle surveillance system. They demonstrate that a single camera with an embedded image processing system can concurrently monitor, detect and track multiple vehicles in multiple lanes during the nighttime as successfully as the daytime.
机译：本文提出了一种车辆检测和速度测量系统，通过识别夜间环境中的前照灯特性来估计车辆的速度。我们提出了一种用于夜间车辆检测和跟踪的交通监控系统，以及背景提取和自动消失点检测过程。我们表明，单个摄像机可以在白天充分有效地操作，以同时计算和检测消失点。我们已将其应用于夜间自动交通监控系统中的预处理。实验结果表明，即使在夜间，也可以进行车辆跟踪。初步的实验结果证实了该夜间车辆监视系统提出的算法的可能性和有效性。他们证明，具有嵌入式图像处理系统的单个摄像机可以像白天一样成功地在夜间同时监视，检测和跟踪多车道上的多辆车辆。

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