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A Background Modeling Method Based on Long Time Background Collection

A background modeling, long-term technology, applied in the background modeling field of long-term background collection, can solve problems such as difficulty in establishing background samples, and achieve the effects of small memory footprint, fast running speed, and rapid response

Active Publication Date: 2021-06-04
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the different practical application environments and the diversity of backgrounds, it is difficult to establish a good background sample

Method used

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  • A Background Modeling Method Based on Long Time Background Collection
  • A Background Modeling Method Based on Long Time Background Collection
  • A Background Modeling Method Based on Long Time Background Collection

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Experimental program
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Embodiment Construction

[0023] The specific implementation manner of the present invention will be described in detail below in conjunction with the examples.

[0024] The background modeling method for long-term background collection, the specific steps are as follows:

[0025] Step 1: extract the first frame of the video sequence as the initialization image matrix initMat, the size of initMat is width×height, and the unit is pixel;

[0026] Step 2: Initialize the background model according to initMat, the specific steps are:

[0027] Step 2.1: Create four matrices of zero matrix bkC, one matrix preBkV, zero matrix preBkC, and zero matrix mask, and the sizes of the four matrices are width×height;

[0028] Step 2.2: Create a bk matrix, the size of bk is width×height, and assign the value of initMat to bk;

[0029] Step 3: read the frames in the video sequence sequentially, and perform background modeling. The specific steps are as follows:

[0030] Step 3.1: Perform background update according to ...

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Abstract

The invention discloses a background modeling method for long-term background collection, which includes the following steps: Step 1: Extract the first frame of a video sequence as an initialization image matrix initMat, the size of initMat is width×height, and the unit is pixel; Step 2: According to initMat initializes the background model; step 3: sequentially read the frames in the video sequence for background modeling; step 4: output the mask and bk matrix, the pixel with the value of 255 in the mask is the pixel of the moving object, and 0 is the pixel of the moving object Background pixels, bk matrix is ​​the background model. The advantages of the present invention are: the present invention can separate the foreground and background in the video at the beginning of the video sequence in the video sequence, and can achieve the effect of background modeling after collecting background pixels for a long time.

Description

technical field [0001] The invention relates to the technical field of video sequence automatic detection, in particular to a background modeling method for long-time background collection. Background technique [0002] As the world develops, the number of cameras available across the globe has increased dramatically. This growth has resulted in a massive increase in data, which means that video data cannot be stored or processed manually. [0003] Moving object detection is an important research direction in the field of computer vision. It is the basis of various subsequent advanced processing, such as object classification, behavior understanding, etc. It has a wide range of applications in security monitoring, intelligent transportation and other fields. In the fields of computer vision and intelligent video surveillance, background modeling is a key technology and the basis for moving target detection and tracking. Therefore, the research on video background modeling ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/194G06T7/215G06K9/00G06F17/16
CPCG06T7/194G06T7/11G06T7/215G06F17/16G06V20/40
Inventor 高飞李云阳葛一粟李帅卢书芳陆佳炜刘盛
Owner ZHEJIANG UNIV OF TECH