A rail foreign matter detection method based on low-rank matrix factorization

A low-rank matrix, foreign object detection technology, applied in the field of computer vision, can solve problems such as train safety hazards, throwing out of the window, etc., and achieve good robustness.

A low-rank matrix, foreign object detection technology, applied in the field of computer vision, can solve problems such as train safety hazards, throwing out of the window, etc., and achieve good robustness.

CN109934135AActive Publication Date: 2019-06-25BEIHANG UNIV
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  • A rail foreign matter detection method based on low-rank matrix factorization
  • A rail foreign matter detection method based on low-rank matrix factorization
  • A rail foreign matter detection method based on low-rank matrix factorization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0041] In this embodiment, a representative rail foreign object image taken based on a space-based platform is taken as an example, such as figure 2 shown. Line detection is performed on the source image, and the result is as follows image 3 As shown in , and filter the calculated straight line to extract the railway track area of ​​interest.

[0042]Extract the pixel vector of the region of interest and perform clustering processing, divide it into two subsets of sleepers and stones, and perform low-rank matrix decomposition on the matrix formed by the two subsets to obtain the low-rank matrix D, and make the difference between the original matrix and the low-rank matrix to obtain The foreground matrix E and the foreground matrix are filtered and thresholded to determine the position of the foreign object and marked in the source image. The experimental results are as follows Figure 4 shown.

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Abstract

The invention discloses a rail foreign matter detection method based on low-rank matrix factorization, and belongs to the technical field of computer vision. The implementation process comprises the following steps: 1) carrying out straight line detection on an unmanned aerial vehicle aerial photography railway image, screening a straight line group, finding a rail edge straight line, and determining an area needing to be detected and processed; 2) extracting a pixel vector from the rail area and clustering the pixel vector, wherein the pixel vector can be divided into two subsets of sleepersand stones; 3) performing low-rank matrix decomposition on a matrix formed by the two subsets, and subtracting the obtained low-rank matrix with background information to obtain a foreground matrix; According to the method, the rail foreign matter is detected through an algorithm based on low-rank matrix decomposition, the foreign matter is quickly confirmed through images transmitted back in realtime through space-based monitoring, and the method can be used for the fields of railway safety monitoring and the like.

Description

technical field [0001] The invention belongs to the technical field of computer vision, relates to digital image processing technology and target detection technology, and specifically refers to a method for detecting foreign objects on rails based on low-rank matrix decomposition. Background technique [0002] Rail foreign object detection refers to the measures to check the rail area for foreign objects in order to ensure the safety of trains. According to the relevant regulations on the safe running of trains in our country, in the railway line safety protection zone and its adjacent areas, there must be no foreign objects that endanger the normal running of the train within the railway limits stipulated by the state, so as not to cause the driver to see the foreign objects at a relatively short distance. Braking treatment, but the braking is not timely, the braking distance is too long and the collision with foreign objects causes property damage and safety accidents. ...

Claims

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Application Information

Patent Timeline
25 Jun 2019
Publication
CN109934135A
IPC
G06K9/00; G06K9/34; G06K9/46; G06K9/62
Inventors
罗晓燕; 曹先彬