基于地理视频和多媒体数据协作的区域人群状态分析

Yan Zhou, Mengdou Qin, Xu Wang, Cong Zhang
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引用次数: 1

摘要

通过GIS技术可以将多个场景视频监控系统进行组合,消除场景限制,完成区域人群状态分析。区域监控视频数据庞大复杂,数据筛选、处理和分析难度较大。针对区域人群状态监控问题,提出了一种基于GeoVideo和多媒体数据协同的人群状态分析方法。该方法整合社交媒体数据信息,利用城市POI数据和微博签到数据提取热点区域,对热点区域的监控视频进行筛选或采集,然后提取视频的人群状态特征,结合video is完成该区域的人群状态分析。最后,通过人群流量监测实验,验证了该方法在区域人群状态监测与分析中的可行性和正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional Crowd Status Analysis based on GeoVideo and Multimedia Data Collaboration
Multiple scene video surveillance systems can be combined through GIS technology to eliminate scene restriction and complete regional crowd state analysis. Regional surveillance video data is huge and complex, and its data screening, processing and analysis are difficult. Aiming at the problem of regional crowd state monitoring, this paper proposes a method of crowd state analysis based on GeoVideo and multimedia data cooperation. This method integrates social media data information, uses urban POI data and microblog sign-in data to extract hotspot areas to screen or collect the monitoring video of the hot area, then extracts the crowd state feature of the video and combines the VideoGIS to complete crowd status analysis in this area. Finally, the experiments which were designed for crowd flow monitoring confirm the feasibility and correctness of the method on the regional crowd state monitoring and analysis.
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