Abstract: Rail transit is an effective way to improve the urban public traffic conditions. With the rapid construction of urban rail transit, the urban rail traffic safety problems are being paid more and more attention. By real-timely analyzing the surveillance video streams, the intelligent video analysis technology can detect, classify, track the targets in the scene and analyze and judge the behavior of the targets, which can alarm in time, active prevent and improve the efficiency of dealing with emergencies when the abnormal situation occurs. This paper studies the application background and technical framework of the intelligent video analysis in the rail transportation intelligent video surveillance system and summarizes the different implementation methods and common algorithms about the key technologies of the intelligent video analysis technology.

Key words: urban rail transit, video surveillance, intelligent video analysis, target detection, target classification, target tracking, behavior recognition and understanding, abnormal behavior detection and determination

摘要： 轨道交通是改善城市公共交通状况的有效途径。随着城市轨道交通的快速建设, 人们对城市轨道交通的安全问题越来越重视。智能视频分析技术通过对监控视频流的实时分析，对场景中的各种目标进行检测、分类、跟踪，并分析和判断目标的行为，从而能在异常情况发生时可以及时报警、主动防范，提高处理突发事件的效率。主要研究了智能视频分析技术在轨道交通智能视频监控系统中的应用背景及技术框架，总结了智能视频分析中的关键技术的不同实现方法及其常见的算法。

关键词: 城市轨道交通, 视频监控, 智能视频分析, 目标检测, 目标分类, 目标跟踪, 行为识别与理解, 异常行为检测及判定