摘要
随着大数据、人工智能、视频分析技术的快速发展,智慧地铁相关业务需求得以逐步实现,地铁列车客流密度分析及显示技术应用日趋成熟。传统的人流密度检测多通过视频图像分析技术进行处理,其在列车运行的复杂场景下受制约因素较多,难以进行准确客流数据统计。因此,基于视频分析和轴重分析相结合的客流密度分析技术,将极大提高客流密度检测精度和准确性。
With the rapid development of big data, AI and video analysis technology, smart metro meeting the relevant business requirements is gradually realized, and the metro train passenger flow density analysis and application of display technology are becoming more and more mature. The traditional measurement of passenger flow density was mostly processed only by video image analysis technology, which was constrained by many factors in the complex scenarios under train running operation, so it is difficult to carry out accurate passenger flow data calculation and statistics. Therefore, the latest passenger flow density analysis technology based on the combination of video analysis and axle load analysis greatly improves the measurement accuracy and fact of passenger flow density.
出处
《现代城市轨道交通》
2019年第12期66-70,共5页
Modern Urban Transit
关键词
地铁
视频图像
轴重分析
客流密度
显示系统
subway
video image
axle load analysis
passenger flow density
display system
