信阳师范学院学报（自然科学版）2018，Vol.31Issue(1)：59-63,5.DOI:10.3969/j.issn.1003-0972.2018.01.011
视频和GIS协同的人群状态感知模型
Crowd Status Analysis Based on Surveillance Videos and GIS
摘要
Abstract
In order to solve the problem that surveillance videos were difficult to be unified in the image space and the crowd status was difficult to be perceived macroscopically and quantitatively,a new method was proposed based on GIS,which can be used to display,analyze and early warn crowd status through 2D map. Firstly,the surveillance video was accessed through the API of camera manufacturers or the standard video stream interface.Secondly,the video images were adjusted to a smaller size and the optical flow field in image space was calculated through some optical calculation algorithm.Finally,the optical flow field of each surveil-lance video was mapped to the corresponding geographic space.Then through GIS,the movement status of the crowd can be observed in the map.Two analysis methods,including scatter point interpolation and contour map,were put forward.The crowd alarm can be realized through relevant thresholds setting.Based on MAT-LAB,ArcGIS Engine and Microsoft Visual Studio C#,a prototype system was developed to validate the algo-rithm using several crowd videos.The results showed that the new method had the advantages of geographic lo-cation,measurement,macroscopic observation and early warning,etc.when compared with the previous meth-ods.关键词
GIS/视频/人群/光流/异常行为Key words
GIS/video surveillance/crowd/optical flow/abnormal behavior分类
天文与地球科学引用本文复制引用
邓仕虎,张兴国,王小勇,朱俊丰,王秀..视频和GIS协同的人群状态感知模型[J].信阳师范学院学报（自然科学版）,2018,31(1):59-63,5.基金项目
国家自然科学基金项目(41401436) （41401436）
对地观测技术国家测绘地理信息局重点实验室开放课题(K201510) （K201510）
信阳师范学院博士科研启动基金项目(0201402) （0201402）
