在进行基于计算机视觉的排种器性能检测时，为了解决目标（种子）之间的遮挡、加快图象采集速度和节省计算机的存储空间，提出了一种近距离多目标（种子）检测中，摄像机系统的标定方法。建立了由摄像机和平面镜组成的摄像机系统标定的数学模型，并给出了恢复空间点的方法。同时在排种器实验台上进行了验证，结果表明该系统不仅能较好地检测出种子和重叠和丢失等情况，而且检测误差小于1mm，且完全可以不用粘胶带，即可检测出排种器性能。

While detecting the property of seed metering device based on computer vision, adjacent objectives are possible to be covered each other, and faster detecting speed is required. In this paper, by analyzing the feature of camera and flat mirror, a calibration method of camera system that is only composed of a single camera and a flat mirror is proposed, and the calibration model of this camera system is expounded in detail. Therefore, the camera system that is only composed of a single camera and a flat mirror can not only raise speed of grabbing image but also spare memory of computer so that the detecting speed is raised. Meanwhile, applying the map relation between image points and special points, an algorithm of reconstructing special point is also given. The calibration method is testified on the experimental table of seed metering device, results show that not only this system can detect overlapping and lost of seeds, but also error is less than 1mm, and the adhesive tape that is used in detection is completely replaced.