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A fast intelligent tracking method and device based on classification learning

An intelligent tracking and fast technology, applied in image analysis, character and pattern recognition, image enhancement and other directions, can solve the problems of difficult identification and tracking, poor tracking effect, complex ground background, etc., and achieve good stability and tracking ability, Realize the effect of high-precision positioning

Active Publication Date: 2021-08-27
仇永生
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AI Technical Summary

Problems solved by technology

When observing ground targets from the air, the ground background is complex, and identification and tracking are difficult. Using traditional target tracking technology, the target cannot be tracked stably under the complex background, resulting in poor tracking effect and unable to complete the tracking task.

Method used

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  • A fast intelligent tracking method and device based on classification learning
  • A fast intelligent tracking method and device based on classification learning
  • A fast intelligent tracking method and device based on classification learning

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Embodiment Construction

[0039] The technical contents of the present invention will be further described below in conjunction with the examples; the following examples are illustrative, not restrictive, and the protection scope of the present invention cannot be limited with the following examples.

[0040] 1 Overall control system design of the stable tracking platform

[0041] The stable tracking platform mainly includes a connecting frame, pitch motor, high and low code disc, pitch electrical connector, platform control circuit, etc.; the turntable realizes the horizontal rotation function of photoelectric equipment, and it mainly includes a rotary motor, a horizontal code disc, and a rotary electrical connector. The platform control circuit is mainly composed of a small motor direct drive control core module and a small microchip-based image acquisition and intelligent identification tracking module, such as figure 1 shown.

[0042] The core module of small motor direct drive control is mainly c...

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Abstract

A fast intelligent tracking method and device based on classification learning. Fast tracking is carried out through the target image, and the corresponding control angle is determined by calculation, and then transmitted to the motor control module, which drives the platform to move so that the center of the lens is always aligned with the moving target, thereby realizing image tracking of the target. The quaternion method is introduced for attitude calculation and error dynamic compensation to provide real-time and stability of system attitude. Improve the pyramid algorithm to layer the image, so as to quickly find the optimal matching point and greatly improve the algorithm speed. It is suitable for ground detection, target recognition and tracking of small industrial UAVs.

Description

technical field [0001] The invention belongs to the field of intelligent control systems, and in particular relates to a fast intelligent tracking method and device based on classification learning. Background technique [0002] With the popularity of UAV applications, the application of small industrial UAVs in various industries has also begun. As an important part of industrial UAVs, the stable tracking platform is mounted on UAVs to complete ground detection and target identification, tracking, etc. When observing ground targets from the air, the ground background is complex, and identification and tracking are difficult. Using traditional target tracking technology, the target cannot be tracked stably under the complex background, resulting in poor tracking effect and unable to complete the tracking task. The invention is an intelligent tracking method and device based on classification learning under the technical background of a small industrial unmanned aerial vehic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06K9/62
CPCG06T7/246G06T2207/20032G06T2207/20016G06V10/751
Inventor 仇永生吴加佳王勇梁志伟
Owner 仇永生
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