地铁站出入通道多摄像机移动目标跟踪研究  

Study on Moving Target Tracking of Multi-camera in Subway Access Channel

作　　者：赵凌[1] ZHAO Ling(Rail Transit Security Department,Railway Police College,Zhengzhou 450053,China)

机构地区：[1]铁道警察学院轨道交通安全保卫系

出　　处：《重庆理工大学学报（自然科学）》2019年第5期95-101,共7页Journal of Chongqing University of Technology：Natural Science

基　　金：公安部技术研究计划项目“高速铁路线路重要部位物联网安防系统技术研究”(2016JSYJC61);河南省重点研发与推广专项“城市轨道交通大客流治安防控的若干关键信息融合技术研究”(182102210119);中央高校基本科研业务经费项目“地铁站出入通道重点人员轨迹跟踪算法研究”(2018TJJBKY012)

摘　　要：为及时发现、预警、防控进入地铁站的可疑人员及其行为,实现多摄像机之间的移动目标传递十分关键。为此,以行人进站乘车的必经之路——地铁站出入通道为背景,以安装其间的相邻2台摄像机的监控图像为研究对象,选用ViBe算法针对2台固定有效监测视域且无重叠区域的摄像机建立移动目标背景检测模型。当有行人出现时,建立移动目标模板,从行人的移动方向、身高宽度比、行走速度、空间颜色直方图4个方面实施特征匹配。实验结果表明:在2台摄像机之间顺利实现了对行人的移动目标传递和轨迹跟踪,跟踪准确率高于在单摄像机上直接使用SIFT算法。In order to discover,warn,prevent and control the suspicious people and their behavior entering the subway station in time,the key is to realize the moving target transmission between multiple cameras.Therefore,the access channel of subway station is selected as this study background,and the monitoring image of two adjacent cameras installed in the access channel is taken as the research object.ViBe algorithm is used to build the background detection model of moving target in two cameras with fixed and non-overlapping detection horizons.When pedestrians appear,the moving target template can be established to implement feature matching from the four aspects of pedestrian movement direction,height-width ratio,walking speed and spatial color histogram.The experimental results show that pedestrians can transfer moving objects and track between two cameras,and the tracking accuracy is significantly higher than that of single camera using SIFT algorithm directly.

关 键 词：地铁站 出入通道 无重叠区域 特征匹配 目标传递 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]