High precision infrared image tracker and a fast target tracking method

Abstract

The invention discloses a high-precision infrared image tracker and a fast target tracking method. The tracker is based on a programmable logic array and a digital processing chip as a framework, and includes a real-time image acquisition and processing module, a real-time image storage module, and a control module FPGA , output image storage module, communication module, digital processing module DSP and dynamic storage module SDRAM. The real-time image of the target converted by A / D is collected through the control module FPGA, and the image is stored in the real-time image storage module through the ping-pong technology, and then processed by the digital processing module DSP, and the information of the image and the tracking position is transmitted through the communication module to the system. The tracking method of the present invention includes technologies such as target binary mark, fast search strategy, adaptive template update and template correction of the binary image mask, which can improve the accuracy rate of the template matching algorithm, effectively avoid false targets, and reduce the impact of false targets on templates. It has the advantages of reliable target recognition and tracking and low hardware requirements.

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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