智能视频分析技术在铁路客站的测试研究

Test and Study of Intelligent Video Analysis Technology at Railway Passenger Station

梳理铁路客站视频监控应用现状及相关部门的需求,分析现有智能视频分析技术在轨道交通应用的可行性。介绍区域密度检测、电梯异常检测、越线检测、物品移走检测、徘徊检测、脱岗检测、人脸识别等7项视频分析技术,并详细阐述7项技术在西安北站的测试过程及结果。通过本次测试研究,检验了现有视频分析技术对铁路客站的适用性,为编制铁路客运视频监控需求规范提供了基础数据和技术支撑。

The paper explains the current status of video surveillance application at railway stations and requirements of related departments, and analyzes the feasibility of applying intelligent video analysis technology in rail transit field. The paper introduces seven video analysis technologies including area density detection, anomaly detection for elevators, cross-line detection, article move-away detection, wandering detection, offduty detection and facial recognition, and elaborates the test process and results of these seven technologies in Xi’an North Station. Via this test and research, the feasibility of applying video analysis technology in railway passenger stations is validated, providing basic data and technical support for preparing the specifications on requirements of video surveillance for railway passenger transport.