Moving Target Detection and Tracking Technology Based on Genetic Algorithm

Abstract

Detecting and tracking moving targets is a hot topic in current computer vision research. It has integrated cutting-edge science and technology in many fields such as image processing, pattern recognition, artificial intelligence, morphology, and automatic control technology. The use of fields such as visual navigation is also becoming more common. This paper aims to study the moving target detection and tracking technology based on genetic algorithm. On the basis of analyzing the image preprocessing technology, the classical moving target detection method and the operation steps of the genetic algorithm, the genetic algorithm is used as the best search strategy to obtain the target. In order to verify the tracking accuracy of the proposed algorithm, this paper selects 5 data sets and conducts experimental tests on them. The results show that all targets in test set 4 and test set 5 are moving, and the targets always move in the same direction, and the field of view Wide and unobstructed, the tracking accuracy is high.