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基于视频监控的铁路客运站人群密度分析算法
引用本文:肖坦,杨栩,李黄煌. 基于视频监控的铁路客运站人群密度分析算法[J]. 铁道通信信号, 2010, 46(8): 80-82
作者姓名:肖坦  杨栩  李黄煌
作者单位:1. 北京国铁华晨通信信息技术有限公司,100070,北京
2. 北京大学信息科学技术学院,100871,北京
摘    要:如何通过视频监控系统实时分析诸如广场、候车室等公共场所的人流密度变化,检测局部和整体人群是否过分拥挤,预防群体伤害事故,是目前研究的热点问题。为此,提出一种新算法进行人数估计,该算法具有较好的鲁棒性,可以适应复杂的背景和光照条件。

关 键 词:视频监控  人数估计  透视投影  小波变换

Railway Passenger Station Crowd Density Estimation Algorithm Based Video Surveillance
Xiao Tan,Yang Xu,Li Huanghuang. Railway Passenger Station Crowd Density Estimation Algorithm Based Video Surveillance[J]. Railway Signalling & Communication, 2010, 46(8): 80-82
Authors:Xiao Tan  Yang Xu  Li Huanghuang
Affiliation:Xiao Tan. Yang Xu, Li Huanghuang
Abstract:How to analyze real-time crowd density in public places such as station squares and waiting rooms through video surveillance systems so as to detect overcrowding and to prevent accidents has recently been a hot topic.This paper presents a novel algorithm of estimating crowd density for the purpose.The algorithm is robust and adaptive to complicated backgrounds and various illuminations.
Keywords:Video surveillance  Crowd density estimating  Perspective projection  Wavelet transform
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