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Target Recognition and Localization of Mobile Robot with Monocular PTZ Camera

机译:单眼PTZ相机的移动机器人的目标识别与本地化

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The target recognition and location based on the vision sensor is a kind of more intuitive and effective method. The paper designs a human mobile robot and the monocular PTZ camera fixed on the differential driver of the mobile robot for the target recognition and localization. The camera parameters are calibrated using the Zhang Zhengyou calibration method; target recognition is based on the combination of the color and the edge detection. First, the objects with the same color are extracted by the color recognition method (by setting an appropriate threshold value for the HSV color space of the acquired image). Then the target is further extracted by the edge detection (by Hough circle transformation); target location is based on the Similar Triangle Principle because the PTZ camera has pitch, tilt, and zoom characteristics and the monocular vision sensor of the camera with different pitching angles is used to measure the distance between the robot and the target. According to the characteristics of the monocular PTZ camera the mobile robot realizes the target localization and tracking. The simulation and experimental results demonstrate that the mobile robot shows better target recognition and localization in mobile tracking target process and proves the effectiveness of the method.
机译:基于视觉传感器的目标识别和位置是一种更直观和有效的方法。本文设计了一种人体移动机器人和固定在移动机器人的差动驱动器上的单眼PTZ相机,以实现目标识别和本地化。使用张正友校准方法校准相机参数;目标识别基于颜色和边缘检测的组合。首先,通过颜色识别方法提取具有相同颜色的对象(通过为所获取的图像的HSV颜色空间设置适当的阈值)。然后通过边缘检测进一步提取目标(通过Hough圆形变换);目标位置基于类似的三角形原理,因为PTZ摄像机具有俯仰,倾斜和变焦特性以及具有不同俯仰角的摄像机的单眼视觉传感器用于测量机器人和目标之间的距离。根据单眼PTZ摄像机的特点,移动机器人实现目标本地化和跟踪。模拟和实验结果表明,移动机器人在移动跟踪目标过程中显示出更好的目标识别和定位,并证明了该方法的有效性。

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