Genetic method of image processing for motor vehicle recognition

Abstract

An analysis of scientific articles on similar topics was conducted; it was de-termined that the best recognition accuracy rate is achieved by using convo-lutional neural networks. Modifications of a simple genetic algorithm (Alfa-Beta, Alfa-Beta Fixed, Fixed) were developed. The implementation of the program for recognition of road users (cars, bicycles, pedestrians, motorcycles, trucks, etc.) was developed. Also, a comparison was made between the use of modifications of a simple genetic algorithm and the best approach for solving the problem of road user recognition. The purpose of the research conducted was to find an optimal approach for solving the problem of road user recognition, since the system that hasn't been implemented yet can recognize road users accurately. It was found that the improved Alpha-Beta modification is the best approach from the considered ones used to solve the problem. This modification allowed getting the best accuracy rate in less time selection, in comparison with other base modifications and simple genetic algorithm. The obtained results have a high practical value, since the developed modification allows optimizing the process of selection of values in other subject areas.