In the article, algorithms for calculating the longitudinal and vertical displacement of a moving object relative to a stationary base by a non-contact method using a laser-optical measuring de-vice are described and compared. The problem of non-contact measurement of longitudinal and vertical displacement belongs to the class of problems solved by methods of computer vision - image processing for measuring physical quantities. Two methods of calculating the value of the longitudinal and vertical displacement are compared. The first is based on the distance to the object, the size of the image sensor using the thin lens equation. The second is based on the method of calculus of distance to the object and the angle of view of the video recorder using the tangent formula. The measurements were carried out for the range of 0.5 - 500 m. The results of the work can be used to create high-precision positioning systems and high-precision vehicle guidance systems for various types of transport (sea, river, road, air and rail). Such systems solve the problem of stabilizing the position of moving objects in various transport systems, as well as position control.
Automation of technological processes using computer vision systems necessitates fragment based tracking of the displacement of a large areal object in images. Examples of such processes are monitoring mooring operations, loading and unloading operations, analyzing the environment from the vessel’s bridge, and tracking berthing. These processes are cyclical in the maritime transport industry and thus require methods for automatic data analysis in 24×7 mode. The paper proposes a method of fragment based tracking of the displacement of a large areal object in images in real time. The algorithm that underlies the method enables tracking the object fragment using convolution of pixel matrices and ensures data processing by frequency methods, including computational operations using Fourier images. The developed method is applicable for real-time tracking the object in images, even when it can be hardly distinguished from the background. The method of tracking the displacement of a large areal object proposed in the study can be used in software and hardware meters for longitudinal and vertical displacement, which are used in the maritime transport industry.
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