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Calibrating pan-tilt cameras in wide-area surveillance networks

机译:在广域监控网络中校准平移摄像头

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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.
机译:泛倾斜相机通常用作广域监控系统的组件。必须彼此校准这些相机,以便获得整个空间的一致表示。校准PAN倾斜相机的现有方法已经假设了相机力学的理想化模型。此外,大多数方法已经使用了一小范围的相机运动进行了校准。我们提出了一种校准泛倾斜相机的方法,它引入了更完整的相机运动模型。平移和倾斜旋转被建模,如空间的任意轴线发生。此外,广域监控系统本身用于构建大型虚拟校准对象,从而校准比单个小校准目标更好。最后,提出的增强功能在实验上验证,比较显示了提供更多传统方法的改进。

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