Abstract
At present, the comprehensive inspection trains of all countries in the world are equipped with an environmental video inspection system. The running environment is monitored by manual analysis of the video data, which is labor intensive and inefficient. In this paper, we propose a fast and intelligent inspection method for high-speed railway infrastructure monitoring. A railway environment video is acquired by an imaging device installed on a high-speed integrated detection train, and the forward-looking video is used to establish a panoramic imaging model by constructing the rectangular sampling area having a dynamic width from each frame of the video sequence, which covers the four side scenes of the railway and generate four panoramic images through image stitching technology. The experimental analysis indicates that proposed method makes the examination and analysis of video faster, simpler and more intelligent, which not only simplifies video content and reduces the time cost for users to browse video; but is also more feasible to run automatic identification algorithm on the compressed panoramic image for realizing the automatic intelligent detection of railway environment anomalies.
Highlights
At high speeds, any foreign matter intrusion or loss in the railway environment will seriously affect the safety of the train running
It’s an effective method to monitor the state of the line in front of the train and the state of the fences on both sides of the line by using the train-borne environmental monitoring equipment installed in the high-speed comprehensive detection train
Aiming at the shortcomings of traditional video surveillance systems, we propose a fast panorama generation method based on the video stitching method, and converts the video into a more suitable format for the computer processing
Summary
Any foreign matter intrusion or loss in the railway environment will seriously affect the safety of the train running. How to quickly obtain information that affects environmental closeness and abnormal intrusion of foreign objects or equipment within the line from a large number of video images acquired by high-speed integrated detection trains, and correct warning is a problem that needs to be solved. The redundant information between the image sequences is removed, reducing the storage overhead of the video data On this basis, the generated railway environment panorama is used as the detection data, and intelligent algorithm can be used to realize the automatic inspection of the foreign matter intrusion in the high-speed railway environment. The entire panorama stitching simplifies the image processing, and realizes the real-time acquisition of railway panorama It presents a panorama index for fast video browsing, and saves the time and space costs of video browsing and storing. It facilitates the free visual inspection by railway staff so that the safe operation of highspeed railway is ensured
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
