Recognition On High-Speed Rail Passenger Hub Passenger Safety State

With the rapid development of high-speed rail, the number of high-speed rail passenger terminal is increasing rapidly. High-speed rail hub of passenger safety has been the focus of attention. Passenger security state recognition is in favor of finding the level of passenger safety service in all regions of the hub timely and accurately. Achieving the automatic identification of passenger safety is an important way of hub management automatically and information.Firstly, on the basis of a large number of inspection current research, the viewpoint of influencing high-speed rail passenger safety passenger hub status has been analyzed and discussed by use of systems engineering methods around the people, stations, management, and environmental in this article.In this article, combined with the physical characteristics of travelers and motion characteristics in computer image recognition technology, the Key sub-regional information extracted importance has been analyzed in the hub of automatic identification technology,and the image recognition process has been analyzed completely from the information collection, processing and the integration process.The automatic identification of flow parameters has been achieved by use of computer software. The methods of hub surveillance video recognition with recognition for passenger safety suit and coordinate changes in video recognition have been selected.Then, according to the analysis of traffic safety impact factor, passenger security classification parameters have been selected. Combined with research status at home and abroad, the threshold under various security levels of security classification parameters has been defined by use of the methods of passenger security classification in the density and speed difference ratio.Finally, the construction method based on the high-speed rail hub software passenger safety simulation platform by use of three-dimensional simulation. The dynamic simulation of hub passenger status has been archived. At the same time, the errors in results of Video image recognition technology have been for oblique shoot video recognition reduced by the way of Virtual camera overhead. The virtual interface information released of passenger safety automatic identification has been achieved using of computer programming.