Collaborative detection method for multi-source image motive target

A collaborative detection and moving target technology, applied in image analysis, image data processing, instruments, etc., can solve the problem of low detection accuracy and achieve the effect of avoiding false detection and missed detection

Inactive Publication Date: 2008-09-10
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of low detection accuracy in the prior art, the present invention provides a multi-source image moving target cooperative detection method, which utilizes multi-spectral information and adopts a feedback closed-loop for result correction, which can well solve problems such as occlusion and shadows, and can improve Detection accuracy

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  • Collaborative detection method for multi-source image motive target
  • Collaborative detection method for multi-source image motive target
  • Collaborative detection method for multi-source image motive target

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Embodiment Construction

[0012] Refer to attached picture.

[0013] 1. Image registration.

[0014] Firstly, the general range of feature points is manually selected, and then the corner points within the range are used as feature points of the image, and the Harris factor is used to extract them.

[0015] Second, feature matching is performed. Feature point matching is divided into two steps, and the specific process is as follows:

[0016] 1. Rough matching of feature points.

[0017] Rough match is F 1 , F 2 In each feature point, a (2k+1)×(2k+1) template centered on the feature point is established. then choose F 1 A feature point in , and its template with F 2 Compare the templates of each control point in , and calculate the correlation between the two templates.

[0018] f 1 middle feature point (x i ,y i ) and F 2 middle feature point (x′ j ,y' j ) is calculated as follows:

[0019] cor ij = Σ ...

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Abstract

The invention discloses a cooperative detection method for the movable target of a multi-source image which firstly carries out image registration and unifies the coordinate system of the multi-source image for considering the multi-source image; carries out movable target detection on the sequence of each multi-source image; evaluates each detection result and corrects each detection result according to the feedback of the evaluation result until obtaining a more reliable detection output; as feedback correction can carry out fully understanding on the information of the multi-source image, a false target with smaller credit is abandoned, thus reducing the false alarm rate, increasing the confidence coefficient of the real target and improving the detection rate. By utilizing multispectral information and adopting a feedback closed ring to carry out result correction, the cooperative detection method for the movable target of the multi-source image of the invention can better solve the problems of shielding and shadow; the average detecting rate is improved from the 88.0 percent of the prior art to 92.3, thus avoiding detection miss and detection leakage.

Description

technical field [0001] The invention relates to a multi-source image moving target collaborative detection method. Background technique [0002] The document "Long-distance Target Detection Based on Multi-sensor Information Fusion, Infrared Technology, 2006, Vo1.28(12), p695-698" discloses a moving target detection method based on feature-level fusion. In this method, the motion area is obtained by using the inter-frame difference accumulation algorithm, and then the moving object is extracted and the feature level fusion is carried out. In the fusion stage, the algorithm measures the credibility of the detection results of each source image, and weights and sums the processing results of different sensors through the credibility measurement, but does not feed back the results to the processing unit, and cannot make full use of multi-sensor information. , the average detection rate is only 88.0%. Contents of the invention [0003] In order to overcome the shortcomings of...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/20
Inventor 张艳宁郑江滨郗润平杨根张秀伟孙瑾秋仝小敏
Owner NORTHWESTERN POLYTECHNICAL UNIV
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