Moving target detecting method based on background reconstruction

A moving target and detection method technology, applied in the field of moving target detection and processing systems, can solve problems such as small amount of calculation, wrong reconstruction results, etc.

Inactive Publication Date: 2010-11-03
CHANGAN UNIV
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Problems solved by technology

The model method is to establish a statistical model for the gray level of each pixel, such as a Gaussian distribution model, a mixed Gaussian distribution model, etc., and use an adaptive method to update the background by adjusting the model parameters. This method is only available when the scene does not contain moving objects. Only when the model can be initialized correctly, there are certain difficulties in practical application; the gray level classification method is based on certain assumptions, using a continuous video sequence that has been observed to select the pixel gray level to obtain the current background image, such as: based on The background reconstruction technology of pixel classification, this method has a small amount of calculation, but when the pixel gray level changes slowly, it will produce wrong reconstruction results

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Embodiment Construction

[0064] see Figure 5 , the specific implementation process of the present invention comprises the following steps:

[0065] Step S0: input the image sequence collected by the image acquisition device into the computer system, and read the image sequence (f 0 , f 1 , f 2 ,..., f N );

[0066] Go to step S1;

[0067] Step S1: Input the first data f 1 (x, y), will f 1 (x, y) is classified as the jth gray-scale stationary interval class and initializes the primary class. At this time, i=1, j=1, the gray-scale and Sf j (x, y) = f i (x, y), the number of class pixels Sp j (x, y) = 1 and class frame difference sum Sd j (x, y) = 0, where j is the class number; f i (x, y) is the gray value of the pixel (x, y) at the i-th frame, i=1, 2, ... N;

[0068] Go to step S2;

[0069] Step S2: Continue to input new data f i (x, y), that is, i=i+1; if i≤N, calculate the frame difference Df i (x,y):

[0070] Df i (x, y) = f i (x,y)-f i-1 (x, y), i=1, 2, ... N (Formula 1)

[007...

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Abstract

The invention discloses a moving target detecting method based on background reconstruction, comprising the following steps: inputting an image sequence and computing the gray level difference of the adjacent frames of the pixels; classifying the stable gray level intervals; computing the mean gray level of each class of stable gray level intervals; merging the similar classes of stable gray level intervals; selecting the background gray levels of the pixels; and detecting the moving target. The method saves storage space, is small in computed amount, good in robustness and wide in application range, dispenses with establishing models of the backgrounds and targets in the scenes and can directly reconstruct the backgrounds from the scene images containing moving foreground and effectively avoid mixing. The method has extensive application prospect in such real-time system fields as machine vision, video monitoring, military science, urban traffic monitoring, daily resident safety monitoring, etc.

Description

technical field [0001] The invention relates to a detection and processing system for moving objects, in particular to a background-based processing method and system for moving objects. Background technique [0002] Segment the moving target in the video sequence, that is, extract the moving area from the continuous video sequence, and distinguish the moving foreground and background. The intelligent monitoring system extracts the moving target of the video sequence without human intervention, locates, recognizes and tracks the extracted moving target, and analyzes and judges the behavior of the target, which can be used for subsequent target identification and tracking. , Alarm and records provide the basis, and can also respond in time when abnormal situations occur. In addition, in addition to the application in the intelligent monitoring system, it has broad application prospects in the fields of machine vision and military science. [0003] There are three commonly u...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 肖梅张雷杨亮边浩毅罗江红刘龙
Owner CHANGAN UNIV
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