Background modeling and motion object detection method and apparatus with image gradient and gray scale integration

A moving target and background modeling technology, applied in the field of image monitoring, can solve problems such as false detection, smear area, and inability to accurately describe the movement of background objects, so as to reduce missed detection and false detection, improve accuracy, and improve construction accuracy. effect of modulus and detection efficiency

Active Publication Date: 2015-12-23
OB TELECOM ELECTRONICS
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  • Application Information

AI Technical Summary

Problems solved by technology

The ViBe algorithm handles the sudden change of the background better, and simplifies the modeling process better, but because the gray value of the pixel of the moving object is used as the sample value of the model, it is easy to cause false detection and smear area
Most of the current backgr

Method used

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  • Background modeling and motion object detection method and apparatus with image gradient and gray scale integration
  • Background modeling and motion object detection method and apparatus with image gradient and gray scale integration
  • Background modeling and motion object detection method and apparatus with image gradient and gray scale integration

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Embodiment 1

[0033] Embodiment 1, a background modeling and moving object detection method that integrates graphic gradient and grayscale.

[0034] Refer to attached figure 1 , 2 .

[0035] The background modeling and the moving target detection method of fusion graphic gradient and grayscale of the present invention comprise the following steps:

[0036] step 1:

[0037] Collect 3000 frames of video surveillance data as training samples;

[0038] Step 2:

[0039] Establish a single Gaussian model (μ, δ) based on image grayscale:

[0040] μ = Σ i = 1 3000 f i

[0041] δ = 1 3000 Σ i = 1 3000 ...

Embodiment 2

[0058] Embodiment 2, a device for background modeling and moving object detection that integrates graphic gradient and grayscale.

[0059] Refer to attached image 3 .

[0060] The background modeling and moving object detection device of the fusion of graphic gradient and grayscale of the present invention is used in the detection method of embodiment 1, and includes an image acquisition unit 1, a grayscale background modeling unit 2, a gradient background modeling unit 3, a model Judgment unit 4, moving target detection unit 5 and background model update unit 6, the image acquisition unit 1 is used to collect monitoring images, and the grayscale background modeling unit 2 is used to establish a grayscale background model and determine which pixels need to be established Gradient background model, the gradient background modeling unit 3 is used to establish a gradient background model, and the model judgment unit 4 is used to judge which pixels use the grayscale background m...

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Abstract

The invention provides a background modeling and motion object detection method with image gradient and gray scale integration. The method comprises: 1, collecting N frames of video monitoring data as a training sample; 2, establishing an image-gray-scale-based single Gaussian model; 3, selecting pixel points to establish a gradient model; and 4, carrying out moving object detection. In addition, the invention also provides a background modeling and motion object detection apparatus with image gradient and gray scale integration. The apparatus consists of an image acquisition unit, a gray scale background modeling unit, a gradient background modeling unit, a model judging unit, a moving object detection unit and a background model updating unit. According to the invention, backgrounds are distinguished into a single back ground and a complicated background based on a gray scale standard difference and different background models are established for description; and with the single background model, the background can be described rapidly and effectively, and with the complicated background model, the complicated background change can be described well. Therefore, accuracy of the moving object detection can be improved well.

Description

technical field [0001] The invention relates to the technical field of image monitoring. Background technique [0002] Background modeling technology is the key technology of moving object detection, and it is also the most commonly used method for moving object detection. It is very helpful for image analysis, video content analysis effect, feature extraction, etc. However, in actual application scenarios, the background is not completely fixed, and there are problems such as background motion, illumination changes, camera shake, etc., resulting in a simple background model that cannot describe the background well, and more false detections, Missing detection and other situations will affect the effect of further analysis on images and videos. [0003] At present, the ideal background modeling methods include: mixed Gaussian model, codebook method, ViBe and PBAS and other methods. The mixed Gaussian model uses one or more Gaussian distributions to represent the background...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/10016
Inventor 石旭刚张水发刘嘉杜雅慧汤泽胜
Owner OB TELECOM ELECTRONICS
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