Technology system design of multi-state moving target detection and tracking in complex environment

Abstract

In order to solve the problems of incorrect tracking because of complex environment, and unstable tracking because of dynamic variable target in the key operational links such as external ballistic parameter measurement, target recognition, early warning, attack and defense, a technical system for complex environment and multi-state moving target was designed based on the analysis of imaging mechanism and tracking difficulties. The technology system of target detection in the complex background, anti-occlusion of background active sensing and multi-level detection, anti-jamming detection and recognition of multi-feature recognition association, dynamic mutation perception and stable tracking of target, stable tracking of non-rigid body tail flame target, stable tracking of rigid body extended target is established based on deep learning. A multi-dimensional tracking decision mechanism is designed, which combines intra-module tracking algorithm fusion and inter-module depth-perception and self-decision. The system realizes autonomous, reliable, stable and accurate tracking of multi-state moving targets in complex environment, and effectively improves the combat effectiveness of imaging perception and tracking of photoelectric information equipment.