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A method of obtaining real-time background images of roads

A background map and road technology, applied in image communication, closed-circuit television system, electrical components, etc., can solve problems such as complex formulas, lack of real-time performance, and difficult coding implementation

Inactive Publication Date: 2018-06-19
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0012] It can be seen that the above methods are all based on the Gaussian model for road map processing, which has the disadvantages of complex formulas, difficult coding implementation, and lack of real-time performance. It is not suitable for the current road monitoring field that requires high real-time performance.
[0013] In the existing patents, there is no clear method for obtaining road background maps for clustering, so the method we propose to obtain road background maps based on grid clustering has good research significance and application value

Method used

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  • A method of obtaining real-time background images of roads
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  • A method of obtaining real-time background images of roads

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Due to the interference of external sunlight, clouds, and leaves, we cannot get an accurate curve change map. So we find points in the graph that vary within a threshold and group them into clusters. We think this is the cluster of the road background map. Then in this cluster, continue to search for the frame with the largest eigenvalue with steady-state changes, and extract it as the background image of the grid. meshing as figure 1 As shown, it specifically includes:

[0041] (1) Extract the 30-second road video into frames. If the video is 30 frames per second, a total of 900 frames;

[0042] ⑵Carry out grid interception and division for each frame. We divide each frame into 100 grids, which are represented by two-dimensional matrices of A-J and 1-10, such as Figure 1 ;

[0043] (3) Calculate the H component in HSV for each grid of each frame, and co...

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Abstract

The invention discloses a method for obtaining a real-time background map of a road. The road background map is quickly obtained by using grid clustering. The graph determines the clusters into which different video frames are clustered, and finally extracts feature frames from them, and finally extracts feature frames from them. The method has the advantages of low complexity, high efficiency and strong practicability.

Description

technical field [0001] The invention belongs to the field of digital image processing and clustering, and is particularly suitable for extracting background images of road videos. The modeling of the road background image is an effective method for video compression and transmission processing, which involves a new grid clustering method to extract the feature frames of the background image. Background technique [0002] Recently, background modeling has played an increasingly important role in efficient surveillance video coding. At the same time, many practical video coding applications also put forward some specific requirements for background modeling, such as low storage cost and low computational complexity. [0003] Existing background modeling methods can be roughly classified into 2 categories: parametric methods, such as Gaussian mixture model-1, Gaussian mixture model-2, Gaussian mixture model-3, and non-parametric methods including Bayesian models, kernel densit...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/85H04N19/87H04N7/18
CPCH04N7/18
Inventor 杨燕潘鸿李天瑞王浩
Owner SOUTHWEST JIAOTONG UNIV
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