The traditional binocular distance measurement is to calculate the coordinate information of the object in the three-dimensional space through the parallax of the object to be measured in the binocular camera, which needs to be combined with the ideal binocular distance measurement model. However, the cameras used in actual engineering applications are often monocular cameras, which cannot meet the requirements of binocular distance measurement. Aiming at the above problems, a pseudo-binocular dynamic ranging method based on monocular video is proposed, and the target object is ranging from the video taken by a camera moving on a predetermined track. Calibrate the monocular camera used to obtain the camera's focal length, principal point coordinates and other internal parameters. Intercept two frames of images at different positions in the video taken by the camera, calculate the pose relationship of the camera at different positions through the track parameters, and use the normalized template matching algorithm to obtain the best pixel matching point, combined with pseudo The binocular ranging model calculates the distance of the object to be measured, and compares it with traditional binocular ranging and monocular ranging. The experimental results show that when the camera is within 5m of the object to be measured, the error can be maintained within 4% when measuring objects within the camera's field of view.