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首页> 外文会议>IFIP TC 12 international conference on intelligent information processing >A Traffic Camera Calibration Method Based on Multi-rectangle: Calibrating a Camera Using Multi-rectangle Constructed by Mark Lines in Traffic Road
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A Traffic Camera Calibration Method Based on Multi-rectangle: Calibrating a Camera Using Multi-rectangle Constructed by Mark Lines in Traffic Road

机译：一种基于多矩形的交通摄像机标定方法：利用道路标记线构建的多矩形标定摄像机

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摘要

As distance detection is frequently needed in modern traffic management, camera calibration has a significant influence on the accuracy of distance detection. The traditional calibration methods usually need a calibration target, and the exact distance of calibration points has to be measured. In this paper, according to the camera imaging model, we put forward a calibration method based on multi-rectangle, which constructs several rectangles with the mark lines of the traffic road. Without measuring the internal or external parameters of the camera or the exact distance of calibration point, we only need the side lengths of rectangles and the image coordinates of the rectangular vertexes to establish the video image distance conversion model. For improving the accuracy of conversion, we use multiple rectangles to determine the coordinates of the vanishing points and modify the coordinates of the rectangular vertexes. Experimental results show that our method is more accurate when compared with the mainstream methods.
机译：由于现代交通管理中经常需要距离检测，因此摄像机标定对距离检测的准确性有重大影响。传统的校准方法通常需要一个校准目标，并且必须测量校准点的确切距离。本文根据摄像机的成像模型，提出了一种基于多矩形的标定方法，该方法用交通道路的标志线构造了多个矩形。无需测量摄像机的内部或外部参数或校准点的确切距离，我们只需要矩形的边长和矩形顶点的图像坐标即可建立视频图像距离转换模型。为了提高转换的准确性，我们使用多个矩形来确定消失点的坐标并修改矩形顶点的坐标。实验结果表明，与主流方法相比，我们的方法更加准确。

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