Method and system of automatic target recognition tracking under complex scene

Abstract

The invention discloses a method and a system of automatic target recognition tracking under a complex scene. An embedded image processor and high-speed field programmable gate array (FPGA) processor architecture are adopted. The function of target automatic recognition is finished by utilization of the embedded image processor under the complex scene, and real-time tracking and communication module function are finished by utilization of the high-speed FPGA processor architecture. The invention further discloses a method of the automatic recognition tracking under the complex scene based on the system. Not only is quick recognition of a target under the complex scene guaranteed, but also the accuracy of target recognition and tracking is guaranteed meanwhile. Therefore, the problem that currently, quick recognition of the target can not be finished on an embedded device under the complex scene is solved, and application values are great and application prospects are good in terms of a precision guided weapon.

Description

technical field [0001] The invention relates to an automatic target recognition and tracking method and system, in particular to an automatic target recognition and tracking method and system in complex scenes. Background technique [0002] Automatic target recognition and tracking technology is a technology that uses a computer to process the output signals (mainly image signals) of one or more sensors to identify and track specific targets. It is of great significance for tactical missile weapons to accurately strike targets, intelligently attack targets and improve the survivability of launch platforms. [0003] Most of the actual battlefield scenes are very complex. The difficulties to be solved for automatic target recognition in complex scenes include: 1) the diversity of target characteristics; 2) the ever-changing background; 3) the target and background radiation caused by factors such as weather conditions and solar radiation changes Changes in characteristics; 4)...

AI Technical Summary

Problems solved by technology

[0005] The recognition algorithm using image invariant features has the adaptability to the invariant characteristics of rotation, scale and affine, and can better solve the problem of automatic target recognition in complex scenes. However, since this recognition algorithm involves multi-scale operations and multi-dimensional feature spaces Calculation and sub-pixel positioning, etc. The calculation is more complicated, and it is generally implemented on a computer or industrial computer. The fast recognition function has not been realized on embedded devices, so it cannot be practically applied.

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