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Visible light and infrared detection result integration based moving target detection method

A technology for infrared detection and moving targets, which is applied in image data processing, instruments, calculations, etc., and can solve problems such as poor detection effect and poor target detection effect.

Inactive Publication Date: 2014-10-29
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the poor detection effect of existing moving target detection methods, the present invention provides a moving target detection method based on the fusion of visible light and infrared detection results
The method of the invention can effectively deal with the technical problem of poor target detection effect caused by changes in the shadow and light intensity environment, and achieve the effect of all-weather detection

Method used

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  • Visible light and infrared detection result integration based moving target detection method
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  • Visible light and infrared detection result integration based moving target detection method

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Embodiment Construction

[0045] The specific steps of the moving target detection method based on the fusion of visible light and infrared detection results of the present invention are as follows:

[0046] 1. Visible light image foreground detection.

[0047] (a) Model initialization and pixel classification.

[0048] For the first frame image of visible light, N pixel values ​​are randomly selected from the eight domains of pixel points (x, y), and the background model {B n ,n=12,...,N} corresponds to the position point.

[0049] Pixel matching starts from the second frame image. At time t, judge the current frame I t Pixel i(x,y) at (x,y) is connected to background sample B n The pixel b(x,y) of the matching state:

[0050]

[0051] Among them, dis() represents the Euclidean distance between the current pixel and the background pixel, D d =20 represents the distance threshold.

[0052] When the distance threshold D is satisfied d times less than T c When (T c = 2), mark this pixel as for...

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Abstract

The invention discloses a visible light and infrared detection result integration based moving target detection method which is used for solving the technical problem that the existing moving target detection method is poor in detection effect. According to the technical scheme, the visible light and infrared detection result integration based moving target detection method comprises extracting a foreground picture of a visible light image by a ViBe background extraction method; converting the foreground picture to an LUV space for shadow judgment after the foreground picture is obtained; extracting a significant figure of an infrared image by a significance detection method; integrating two detection results and extracting a final moving target. According to the visible light and infrared detection result integration based moving target detection method, the technical problem of the poor target detection effect caused by shadows and illumination intensity environment changes can be effectively solved and the all-weather detection effect can be achieved.

Description

technical field [0001] The invention relates to a moving target detection method, in particular to a moving target detection method based on fusion of visible light and infrared detection results. Background technique [0002] Moving target detection is the basic work of video surveillance. Its main task is to segment and extract the region of motion change from the background image in the video sequence for subsequent target tracking and behavior analysis. The target detection method can effectively overcome the multiple influences of illumination changes, background motion, camera shake, etc., and accurately extract moving targets, which is of great significance. Most of the existing methods are studied on single-source sensor imaging, and the main detection methods are pixel-based detection methods and feature-based detection methods. [0003] The document "ViBe: a powerful random technique to estimate the background in video sequence. ICASSP, 2009, 4:945-948" discloses ...

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Application Information

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IPC IPC(8): G06T7/20
Inventor 郗润平张艳宁张福俊
Owner NORTHWESTERN POLYTECHNICAL UNIV
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