Moving object detection method with background reconstruction based on neighborhood correlation

A moving target and detection method technology, applied in the field of background reconstruction of moving target detection, can solve the problems of wrong background, small amount of calculation, good robustness, etc., achieve small amount of calculation, ensure accuracy, and good robustness Effect

Inactive Publication Date: 2010-12-08
CHANGAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The present invention has a small amount of calculation, does not need to pre-assume the scene, avoids the background pixel that is often used in the gray level classification method to always appear with the largest frequency as an assumption condition, and solves the problem that when the background of a pixel is blocked by a moving object for a long time , it is not always the problem that the wrong background is always constructed when it appears at the maximum frequency, which ensures the accuracy of the detection results of the moving target, can effectively avoid the mixing phenomenon, can accurately reconstruct the background, and has good robustness

Method used

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  • Moving object detection method with background reconstruction based on neighborhood correlation
  • Moving object detection method with background reconstruction based on neighborhood correlation
  • Moving object detection method with background reconstruction based on neighborhood correlation

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Embodiment 1

[0141] see Figure 5 , the specific implementation process of this embodiment includes the following steps:

[0142] Step S0: Input the image sequence collected by the image acquisition device into the computer, and the computer reads the image sequence F'=(f' 1 , f' 2 ,...,f' N );

[0143] Go to step S1;

[0144] Step S1: For the gray value F'(p)=(f') of a certain pixel point p in the input image 1 (p), f' 2 (p),...,f' N (p)) sorted in ascending order, F(p)=(f 1 (p), f 2 (p),...,f N (p)) represents sorted image data;

[0145] Go to step S2;

[0146] Step S2: Input the first data f i (p), put f i (p) is classified into the first class, the primary class, let f i (p) is the initial value of the primary class, at this time i=1, j=1, and initialize the primary class, the initial value of the primary class Number of first class data The primary grayscale and Among them, j is the class number;

[0147] Go to step S3;

[0148] Step S3: Continue to input new dat...

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Abstract

The invention discloses a moving object detection method with background reconstruction based on neighborhood correlation, which comprises the following steps of: inputting an image sequence, and sequencing data; dividing gray scale stable region classes; calculating the occurrence frequency of each gray scale stable region class; dividing background unstable areas, and determining a candidate background for pixel points; determining a background of pixel points; and detecting a moving object. The invention has the advantages that the amount of calculation is less; a model is not required for the background and objects in a scene, and condition assumption is not required for the background; the background can be reconstructed from a scene image with a moving prospect, and thus, a mixing phenomenon can be avoided effectively; a satisfied result can be obtained in a large range of parameter variation; a background can be reconstructed accurately for an area of which the background does not occur in the maximum frequency; and the robustness is good. The invention has wide application potential in the field of real-time systems, such as machine vision, video monitor, military science, urban traffic monitoring, resident routine safety monitoring, and the like.

Description

technical field [0001] The invention relates to a detection and processing system for a moving target, in particular to a moving target detection method based on neighborhood correlation background reconstruction. Background technique [0002] In hospitals, important traffic intersections, banks, subways, and important military fields, it is often necessary to monitor specific scenes throughout the entire process, and monitoring these videos manually is a waste of manpower, material resources and financial resources. The intelligent monitoring system realizes the automatic extraction of moving targets without human intervention, and then performs subsequent processing on the extracted moving targets, such as: positioning, identification, tracking, analysis and judgment of the behavior of moving targets, and can also Respond promptly when situations arise. The extraction of the moving target is the basis and key of the follow-up processing of the intelligent monitoring syste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20H04N5/14G06T7/32
Inventor 肖梅张雷边浩毅刘龙
Owner CHANGAN UNIV
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