High-precision infrared image tracker and target fast tracking method

Abstract

The invention discloses a high-precision infrared image tracker and a target fast tracking method. The tracker is based on a programmable logic array and a digital processing chip as a framework, andcomprises a real-time image acquisition and processing module, a real-time image storage module, a control module FPGA, an output image storage module, a communication module, a digital processing module DSP and a dynamic storage module SDRAM. A target real-time image is acquired through a control module FPGA through A / D conversion, and stored in a real-time image storage module through a ping-pong technology, and the image and the information of the tracking position are transmitted to a system through the communication module after being processed by the digital processing module DSP. The tracking method comprises a target binary mark, a fast searching strategy, self-adaptive template updating of a binary pattern mask, template correction and the like. The accuracy of the template matching algorithm can be improved, the false target is effectively avoided, and the interference of the false target to the template is reduced. The high-precision infrared image tracker and the target fast tracking method have the advantages of being reliable in target recognition and tracking, low in hardware requirement.

Description

technical field [0001] The invention relates to a target tracker and a target tracking and identification method, in particular to a high-precision infrared image tracker for a guided weapon system to accurately strike a target, and a tracking method for rough aiming and precise strike targets using the tracker. Background technique [0002] In the weapon system for precisely striking the target, due to the influence of the environment, such as the wind and grass, the interference of birds and leaves, and the jitter of the photoelectric imaging system, etc., noise will be caused, and these noises will be confirmed as the target in the usual detection method. These false targets as interference will affect the tracking accuracy, resulting in the inability to accurately strike the target. [0003] The algorithm of the early tracker is simple, and it is usually necessary to select the algorithm according to the prior knowledge of the target before performing the task, so as to ...

AI Technical Summary

Problems solved by technology

However, the main factor affecting the matching speed is the number of times to calculate the correlation (that is, the similarity between the template and the real-time graph during matching). At present, in order to improve the matching speed, hierarchical strategies and improved search strategies are often used, but these existing algorithms still cannot simultaneously Meet the system's requirements for accuracy, real-time and low cost

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