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Method for establishing background model based on motion information during image processing

A background model and motion information technology, applied in image data processing, image analysis, instruments, etc., can solve problems such as smearing

Inactive Publication Date: 2010-12-15
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, since the motion information of the foreground is not used, this method will have the problem of smearing, that is, the slow movement of the object will leave historical motion traces in the obtained foreground segmentation

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  • Method for establishing background model based on motion information during image processing
  • Method for establishing background model based on motion information during image processing
  • Method for establishing background model based on motion information during image processing

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Embodiment

[0017] 1. Estimation of the motion field between adjacent frames. figure 1 It is the image of two frames in the input video in the embodiment. The invariance of pixel gray level before and after motion means that for an object point corresponding to a pixel point, when it moves from the first frame to the second frame, since the time and space intervals are very short, it can be assumed that the The gray level of the point is kept constant. Under this condition, the motion vector corresponding to each pixel can be solved by using the conditional random field.

[0018] Denote the motion field of the kth frame as v k , assuming the motion vector v at pixel x k (x) Only the motion vector v of its adjacent pixel point y k (y) and the image g of the two adjacent frames k-1 , g k related, namely:

[0019] p[v k (x)|v k (y), g k-1 , g k ,y≠x]=p[v k (x)|v k (y), g k-1 , g k , y∈N(x)] (1)

[0020] Among them, N(x) refers to the set of pixels adjacent to x.

[0021] Und...

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Abstract

The invention relates to a method for establishing a background model based on motion information during image processing, belonging to the technical field of image processing. The method comprises the following steps of: (1) estimating a moving field between adjacent frames; estimating the moving field of each pixel point of an integral image by utilizing the invariance of pixel gray before and after motion for each pair of the adjacent frames input to videos, wherein the pixel point of which the speed is higher than a certain threshold value is used as a foreground point so as to obtain an initial foreground segmentation; and (2) estimating the background model by utilizing missing data: each frame obtained from the step (1) can be viewed as a sample point missing partial data in an original background space, the original background space is reestablishes through a series of sample points missing the partial data in the videos, and then the background model of each frame can be obtained through reprojection.

Description

technical field [0001] The invention relates to a modeling method in the technical field of image processing, in particular to a method for establishing a background model based on motion information in image processing. Background technique [0002] With the widespread use of video surveillance, video data processing technology has received great attention, such as research on pedestrian detection, tracking, object modeling and pose estimation. Background subtraction is widely used in various techniques to extract the foreground part of the video, which usually includes research objects of interest, such as people or vehicles and other items. For the traditional background subtraction method, the background model usually needs to be given in advance, such as taking a video of the background, and then based on the statistical characteristics of the color of each pixel - mean and variance - to build a background model. There are two problems in this method. One is that addit...

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Application Information

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IPC IPC(8): G06T7/20H04N7/18
Inventor 张鸣孙兵李科刘允才
Owner SHANGHAI JIAO TONG UNIV
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