Real-time compensation method based on motion prediction of least squares support vector machine (LS-SVM)

A support vector machine and motion prediction technology, which is applied in TV, electrical components, digital video signal modification, etc., can solve problems such as poor generalization ability, poor operability, and difficulty in determining the number of initial structural parameters

Inactive Publication Date: 2010-02-24
ZHEJIANG UNIV
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Problems solved by technology

However, the generalization ability of the BP neural network method is poor, and it cannot meet the requirements of the stable imaging system for prediction accuracy and stability; its operation speed is also slow, and it is d

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  • Real-time compensation method based on motion prediction of least squares support vector machine (LS-SVM)
  • Real-time compensation method based on motion prediction of least squares support vector machine (LS-SVM)
  • Real-time compensation method based on motion prediction of least squares support vector machine (LS-SVM)

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[0027] The real-time compensation method based on least square support vector machine motion prediction in the stable imaging system of the present invention is as follows: figure 1 , build a motion prediction model based on the least squares support vector machine in the stable imaging system, and then use the motion vector obtained by the motion detector to train the model, and then when the new motion vector is input into the prediction model, it can output the current The motion vector prediction value of the motion state at a certain time in the future, after digital-to-analog conversion, generates the control amount of the compensation mechanism to realize real-time motion compensation.

[0028] figure 2 It is a schematic diagram of an open-loop stable imaging experiment demonstration and verification system. The imaging target 1 is placed on the piezoelectric translation stage 2, uniformly illuminated by the circularly arranged LED light sources 3, collimated and emit...

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Abstract

The invention discloses a real-time compensation method based on the motion prediction of a least squares support vector machine (LS-SVM) in a stable imaging system. The method comprises the followingsteps: firstly, establishing an LS-SVM motion prediction model and setting a parameter; then collecting motion detection data of the imaging system so as to train the motion prediction model; then, outputting a motion vector predicted value of a certain time in the future when a motion vector value of the current time is input; and finally, carrying out digital-to-analogue conversion on the motion vector predicted values by a stable compensation system to generate a compensation vector so as to control a compensation mechanism to carry out real-time compensation on a current motion of a camera. The invention can quickly and accurately predict the current motion state of the camera under the condition of an unknown camera motion model so as to achieve the purposes of detecting, delaying, predicting and compensating the motions, realize the real-time compensation of the motions of the camera, and improve the working performance of the stable imaging system.

Description

technical field [0001] The invention relates to the technical field of computer imaging, in particular to a real-time compensation method based on least square support vector machine motion prediction in a stable imaging system. Background technique [0002] Digital imaging technology has been widely used in aerospace / aviation remote sensing, military reconnaissance, civilian photography and other fields. During the imaging process of the camera device, due to the trembling and vibration of the camera device carrier, such as satellites, aircraft, vehicles, ships, etc., or the hand shake of the photographer, the image plane shakes during the imaging integration time of the image sensor, which in turn leads to the acquisition of blurred images, reduced resolution, and degraded image quality. [0003] Active stabilized imaging is a technology that uses mechanical, optical, or digital processing methods to actively compensate for imaging carrier motion or image plane shake thro...

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Application Information

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IPC IPC(8): H04N7/26H04N7/50H04N7/46H04N19/149H04N19/51
Inventor 陈跃庭徐之海冯华君董文德
Owner ZHEJIANG UNIV
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