TY - JOUR AU - Spevakov, A. G. AU - Spevakova, S. V. AU - Matiushin, I. S. PY - 2019/11/25 Y2 - 2024/03/29 TI - DETECTING OBJECTS MOVING IN SPACE FROM A MOBILE VISION SYSTEM JF - Radio Electronics, Computer Science, Control JA - RIC VL - 0 IS - 4 SE - Neuroinformatics and intelligent systems DO - 10.15588/1607-3274-2019-4-10 UR - http://ric.zntu.edu.ua/article/view/193269 SP - 103 - 110 AB - Context. In the study, the task of identifying objects moving in space from a mobile system of technical vision is considered.<br />The analysis of the modern methods of dynamic object identification from both stationary and moving platforms is conducted. The<br />need to create a new method for the identification of dynamic objects with a mobile optical-electronic system, which is adaptive to<br />changing observation conditions, is identified. This is a relevant scientific and technical problem. The object of the study is the model of moving object detection from a mobile vision system.<br />Objective. The objective of this article is the analysis of the modern methods of moving object identification and the creation of<br />a new method. The method must allow observation from a mobile vision system and must be able to adapt to changing observation conditions.<br />Method. A method for identifying objects moving in space from a mobile vision system is proposed, which allows to<br />automatically detect moving objects, determine their three-dimensional coordinates with a given accuracy, and adapt to changing<br />observation conditions. This method is based on the developed mathematical model of stereoscopic determination of motion<br />parameters of objects in space, which allows us to increase the detection accuracy.<br />Results. The proposed method is implemented in software. An experiment confirming the adequacy of this mathematical model<br />was conducted. As the result of the experiment, data on the movement of the object and the mobile coordinate system were obtained.<br />Conclusions. The experiments have confirmed the performance of the proposed method and allow us to recommend it when<br />building mobile automatic tracking and identification systems for objects. The method allows automatic isolation of the moving<br />objects, determining their three-dimensional coordinates, and adapting to changing observation conditions. Prospects for further<br />research may be in the creation of hardware tools for the selection of moving objects, allowing to improve the accuracy of the<br />selection. ER -