Calibrating pan-tilt cameras in wide-area surveillance networks

James Davis, Xing Chen
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引用次数: 106

Abstract

Pan-tilt cameras are often used as components of wide-area surveillance systems. It is necessary to calibrate these cameras in relation to one another in order to obtain a consistent representation of the entire space. Existing methods for calibrating pan-tilt cameras have assumed an idealized model of camera mechanics. In addition, most methods have been calibrated using only a small range of camera motion. We present a method for calibrating pan-tilt cameras that introduces a more complete model of camera motion. Pan and tilt rotations are modeled as occurring around arbitrary axes in space. In addition, the wide area surveillance system itself is used to build a large virtual calibration object, resulting in better calibration than would be possible with a single small calibration target. Finally, the proposed enhancements are validated experimentally, with comparisons showing the improvement provided over more traditional methods.
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广域监控网络中平移摄像机的标定
平移摄像机常被用作广域监控系统的组成部分。为了获得整个空间的一致表现,有必要校准这些相机之间的关系。现有的校准平移照相机的方法都假定了一个理想的照相机力学模型。此外,大多数方法只使用很小的相机运动范围进行校准。我们提出了一种校准平移摄像机的方法,该方法引入了一个更完整的摄像机运动模型。平移和倾斜旋转被建模为围绕空间中的任意轴发生。此外,广域监控系统本身用于构建一个大型虚拟校准对象,其校准效果优于单个小型校准目标。最后,通过实验验证了所提出的增强方法,并与传统方法进行了比较。
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