摘要
为降低一般安防视频监控场景下摄像机标定的难度、提高方法的通用性,提出了基于针孔成像原理的监控摄像机标定方法。该方法通过分析针孔成像原理和一般安防视频监控场景特点,采用在图形界面中手工确认图像中已知世界坐标系中的目标点以获取像素坐标系位置的方法,通过矩阵变换快速实现摄像机标定。实验表明,该方法操作简明易懂,精度可满足一般安防视频监控的需求,具有实际应用价值。
In order to reduce the difficulty of camera calibration in general video surveillance scenes and improve the universality of the method,a surveillance camera calibration method based on pinhole imaging theory was proposed.By analyzing the pinhole imaging theory and the characteristics of general security video surveillance scenes,and manually confirming the target points in the known world coordinate system in the image on the graphical interface to obtain the position of the pixel coordinate system,the method can quickly realizing camera calibration through matrix transformation.The experiment shows that the method is simple and easy to operate,and its precision can meet the needs of general security video surveillance.It has practical application value.
作者
谯帅
Qiao Shuai(School of Cyber Science and Engineering,Sichuan University,Chengdu 610207)
出处
《现代计算机》
2022年第9期91-95,104,共6页
Modern Computer
关键词
视频监控
安防
摄像机标定
计算机视觉
针孔成像原理
video surveillance
security
camera calibration
computer vision
pinhole imaging theory
