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High precision calibration strategy and algorithm on binocular visual collaborative tracking

机译:双目视觉协同跟踪的高精度标定策略和算法

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The binocular visual collaborative video tracking method can simultaneously obtain Far-Range image in global field of view and Close-Range image in following field of view with which can track the target, but the error of PTZ(Pan Tilt and Zoom) motion parameters of the following camera is relatively large and the calibration algorithm is relatively complex. Thus, a new strategy for PTZ calibration is presented, with which the PTZ motion parameters of the following camera are calibrated according to different positions of the global field of view, and the mapping relationship between the target position and the PTZ motion parameters is calculated so that the target locates the central position and displays in zoom-in state in monitoring field. Field experiment results show that the motion parameter error is obviously reduced while the precision of calibration is greatly improved.
机译:双目视觉协同视频跟踪方法可以同时获取全局视野中的远距图像和后续视野中的近距图像,可以跟踪目标,但是云台的云台运动参数误差较大。接下来的相机相对较大,并且校准算法相对复杂。因此,提出了一种新的PTZ标定策略,根据全局视场的不同位置对后续摄像机的PTZ运动参数进行标定,并计算出目标位置与PTZ运动参数之间的映射关系。目标位于中心位置并在监视字段中以放大状态显示。现场实验结果表明,运动参数误差明显减小,标定精度大大提高。

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