Information in visualizing flow field is needed for optimization in the aerodynamic opening process of parachute and in the process of optimizing aerodynamic shape of commercial aircraft. In this paper, based on the principle that atmospheric disturbance can lead to deflection of the background light, high-precision atmospheric disturbance detection method for moving objects is established. The method is composed of integral pixel crossing search, Newton-Raphson sub-pixel location, and solution of disturbing equation. The theoretical disturbance detection accuracy in ideal conditions is verified using numerical speckle image. Using the speckle image as the background in the laboratory, the method and the traditional schlieren monitoring method are used to detect the disturbance of the high-pressure tracheal outlet airflow. The results show that the accuracy of the method is high, and it can provide a more applicable way for visual monitoring outside the laboratory.