Research on Novelty Detection for High-Speed Railway
|School||Beijing Jiaotong University|
|Course||Computer Science and Technology|
|Keywords||Railway foreign body detection Background modeling Gaussian mixture model Bayesian model Color difference Local Binary Templates|
Rail transport has been a major passenger and cargo ways of the country at this stage . In order to further increase the transportation capacity of the railway , China in recent years has been vigorously developing high-speed rail . Railway infrastructure protection is not strong enough to lead to railway accidents occur frequently , and therefore , how to effectively reduce the high-speed rail accident has become a social issue of universal concern . Security measures based on the high-speed rail technology in video surveillance because of its many advantages , starting to get people's attention and attention . The research content is processed by high-speed rail inspections the train shooting the video , automatic detection and analysis of the presence of the security risks of foreign body . The main work of the paper are: 1 suited to the characteristics of the high-speed railway foreign body detection and combined to form a complete solution with Gaussian mixture model and Bayesian model . The characteristics of both the exclusion shadow or remove noise has good performance compared with conventional feature . 2 , improved texture - based modeling , image subregional modeling , makes the detection method is not sensitive to noise , and run faster . 3 , the design and development of a high-speed railway foreign body detection prototype system based on OpenCV . The system implements a variety of detection solutions , have a better performance in the detection precision, recall rate , and real-time .