Research And Implementation Of Railway Intrusion Detection Based On Computer Vision

Safety is the eternal theme of railway operation.In recent years,with the rapid development of China railways construction,traffic safety has been paid more and more attention by people.But in practice,because of the railway line across the wide area,the natural and social complex,railway management lack of professional talents and the lack of safety consciousness.The railway accidents occur frequently,and this has seriously affected the railways development and harmed to the safety of life and property.The factors that influence train traffic safety are various,but the object of anomaly intrusion is very important of these.The object of the intrusion is sudden strong and high unpredictability and invasion situation of diversification.Because of these characteristics,it is difficult to fundamentally solve the object intrusion.Based on the above situation,the use of technical to improve the safety of railway operation is particularly important.The main content of this paper is to complete the intelligent detection of abnormal behavior of railway in the environment of video surveillance.The main works in this paper were done as follows:1.Investigated the great harm caused by abnormal invasion behavior to the railway.Demonstrates the necessity and importance of the research work and lay a good theoretical foundation for the follow-up study of the subject.2.Propose a new target detection algorithm,which is based on the typical algorithm.The new algorithm integrated the advantages of Background Subtraction and Inter-frame Difference method and it can improve the detection accuracy.3.Design the railway intrusion detection system.The system can detect of abnormal intrusion behavior,and can accurately identify the target.At the same time,it can send out the warning when the invasion happened.4.After the completion of the system,a number of field tests were carried out.The system can better complete the intrusion detection work.At the same time,it is found that the system is vulnerable to the interference by natural conditions.This points out the direction for the further development and improvement of the system.