Track obstacle detection system based on machine vision

Abstract

The invention discloses a track obstacle detection system based on machine vision, and belongs to the field of railway safety. Black and white video images are obtained by an on-board camera installed at the head of a train, and the track is similarly linear or bent is judged according to that whether the camera is over travel. Manual detection of bend states is achieved by fixing a high definition camera and a wireless transmitting device at a bend for receiving wireless images. A similar straightway analyzes the obtained real-time image sequence, and divides forward obstacles into a non-dangerous class (including static small obstacles, moving objects quickly crossing the track) and a dangerous class (static large obstacles, moving obstacles influencing pass of the train) by adopting a track edge extraction algorithm based on hood conversion and Otsu threshold value, combining an inter-frame difference method based on mathematical morphology improvement with a background difference method and adopting an angular point feature matching tracking algorithm. The track obstacle detection system based on machine vision can quickly process track images, more effectively and accurately extract track edges, and is high in detection precision of track obstacles.

Description

technical field [0001] The invention belongs to the field of railway safety, and in particular relates to a machine vision-based track obstacle detection system. Background technique [0002] In recent years, with the large-scale speed increase of trains, the change of train operation mode, and the obvious increase of passenger and freight volume, higher requirements have been put forward for the safety and reliability of railway transportation. At present, although there are relatively mature products abroad in the research of orbital obstacles, the design concept of most products is to send some form of signal (mainly including laser, radar, magnetic induction, ultrasonic, etc.) to the direction to be detected. And analyze the signal detected and reflected by the sensor as the basis for judging and identifying obstacles. Among these detection methods, for example, the use of ultrasonic waves for railway track detection can detect and identify the position of the target ob...

AI Technical Summary

Problems solved by technology

However, the above-mentioned system is only good for the detection of individual specific substances, and it still cannot play its role in the field of automatic detection and identification of pedestrians, falling rocks and vehicles in front of the train.

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