An efficient and practical calibration method for roadside camera using two vanishing points

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2014-12-15 DOI:10.1109/SPAC.2014.6982658

Yuan Zheng, Zhenyu He, Wei-Guo Yang, Xiaofeng Zhang

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引用次数: 2

Abstract

Calibrating roadside camera is essential and indispensable for intelligent traffic surveillance systems. Due to the characteristics of the traffic scenes, the traditional camera calibration methods based on calibration patterns are no longer suitable, since there are generally no calibration patterns (e.g. checkerboard) in traffic scenes. In this paper, we propose a simple and practical calibration method for roadside camera, where the vanishing point in the traffic road direction and the vertical vanishing point are employed that can be easily obtained from most traffic scenes. By making full use of video information, the multiple observations of two vanishing points are available. In order to obtain more accurate calibration results, we present a dynamic calibration method that employs these observations to correct camera parameters and substitutes least squares optimization for closed-form computation. The experimental results on real traffic images demonstrate the effectiveness and practicability of the proposed calibration method.

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一种高效实用的路边摄像头双消失点标定方法

在智能交通监控系统中，路边摄像头的标定是必不可少的。由于交通场景的特点，传统的基于定标模式的摄像机定标方法已经不再适用，因为交通场景中一般没有定标模式(如棋盘格)。本文提出了一种简单实用的路边摄像头标定方法，利用交通道路方向上的消失点和垂直方向上的消失点，这些都可以从大多数交通场景中轻松获得。通过充分利用视频信息，实现了对两个消失点的多重观测。为了获得更精确的标定结果，我们提出了一种动态标定方法，该方法利用这些观测值来校正相机参数，并用最小二乘优化代替封闭式计算。在真实交通图像上的实验结果验证了所提出的标定方法的有效性和实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

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