High-speed railway foreign matter identification and classification method based on GMM model and BP neural network

Abstract

The invention discloses a high-speed railway foreign matter identification and classification method based on a GMM model and a BP neural network. The high-speed railway foreign matter identification and classification method comprises the steps: obtaining a real-time video image of a target object through a high-definition camera, observing the final state and position of the real-time video image, and judging whether the target object is a foreign matter or not; and identifying and classifying foreign matters based on a Gaussian mixture model and a BP neural network, so that the types of different foreign matters are obtained and warning information is sent to a train. According to the invention, classification of invaded foreign matters can be realized, and recognition of the foreign matters is more accurate, and early warning can be carried out in time, and the accuracy of foreign matter recognition is improved to a great extent, and more detailed information is provided for subsequent removal of the foreign matters.

Description

technical field [0001] The invention relates to a method for identifying and classifying foreign objects in a high-speed railway based on a GMM model and a BP neural network, and belongs to the technical field of high-speed railway safety. Background technique [0002] In recent years, my country's high-speed railway has developed rapidly. The "four vertical and four horizontal" high-speed railways have been basically completed. However, with the continuous increase of train speed, the safety and reliability requirements of railway lines and trains are also continuously improved. In order to ensure the safe operation of trains, not only the safety and reliability of the train itself, but also the The safety of the railway environment in which it operates, such as animals, branches, and even some garbage bags and human-made obstacles that may appear in the railway environment, may affect the safe operation of the train. Therefore, the current issue of railway foreign object ...

AI Technical Summary

Problems solved by technology

[0003] Regarding the identification and detection of foreign objects on railways, traditional methods can no longer meet the current needs for train operation safety and timeliness. It is not only inefficient but also a waste of manpower and material resources. However, no matter it is based on the method of video surveillance, or in order to improve the accuracy, adding infrared, laser, radar detection and other technologies to carry out the detection of foreign objects on the railway in combination with various methods, most of them are on the railway line. The detected foreign matter is monitored, and the detected foreign matter is not classified

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